Senior Machine Learning Engineer

🏢 Summary: Full-time Data Platform Engineer role focused on designing, building, and scaling cloud-based data platforms that support AI/ML, data science, and software teams. The position involves architecting data pipelines, enhancing platform reliability and scalability, and integrating modern big data and cloud technologies. The role requires hands-on expertise in data infrastructure and close collaboration with cross-functional stakeholders. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in Computer Science, Mathematics or related field, 5+ years building and maintaining scalable data platforms or services, Strong proficiency in Python, Strong proficiency in SQL, Experience architecting and implementing data pipeline frameworks, Experience with workflow orchestration, Hands-on experience with Apache Spark or similar big data frameworks, Knowledge of cloud-native data lake or lakehouse architectures, Understanding of data security and governance best practices, Experience collaborating with stakeholders to deliver data solutions, Ability to work with large-scale datasets (terabytes) 📃 Skills: Python, SQL, Spark, AWS, DataLakes, Lakehouse, ETL, Orchestration, Cloud, AI, MachineLearning, DataScience 🏢 Description: Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an exceptional and experienced data platform engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed, real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated engineer to join our team to lead us in uncovering truth and meaning in data. You must be hands-on with a strong understanding of both data platforms and cloud infrastructure. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Govini platform SMEs. In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity and produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Design and implement platform architecture enhancements to support scalability and reliability Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software Evaluate and integrate emerging technologies to improve the data platform Collaborate with teams across the organization to understand business needs and translate them into data solutions Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices Qualifications U.S. Citizenship is required Bachelor's degree in Computer Science, Mathematics or a related technical field Required Skills: 5+ years of experience in building and maintaining scalable data platforms or services Strong proficiency in Python and SQL Proven experience in architecting and implementing data pipeline frameworks, including orchestration Solid understanding of data security and governance best practices Hands-on with big data frameworks, such as Apache Spark Knowledge of cloud-native data lake/lakehouse architectures Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications Strong analytical skills and attention to detail Ability to work independently in a fast-paced environment A passion for solving complex problems and building sustainable, scalable systems Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience using Amazon Web Services Experience in or exposure to the nuances of a startup or other entrepreneurial environment Working knowledge of large (multiple terabytes) amounts of data We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Full-time Natural Language Processing expert role focused on designing, developing, and productionizing NLP and machine learning models to enhance a data analytics SaaS platform. The position involves transforming unstructured text into scalable, production-ready features, integrating state-of-the-art LLMs, and improving search functionality. The role requires strong Python, SQL, and ML expertise, with collaboration across engineering and data teams. 🗂️ Requirements: U.S. Citizenship, Advanced degree or Bachelor's with 3+ years in Data Science, Machine Learning, or related field, Minimum 3 years hands-on experience developing NLP models, Strong knowledge of NLP methods for text representation and semantic extraction, Experience building and productionizing supervised and unsupervised ML models, Advanced proficiency in Python, Advanced SQL skills, Ability to collaborate across technical teams 📃 Skills: Python, SQL, NLP, MachineLearning, LLM, Kubernetes, Transformers, DataStructures 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Air end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods Ability to work with taxonomy experts to create and validate dataset annotation Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Air Enterprise Readiness platform to enhance user experience. Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code Keep up to date with Machine Learning best practices and evolving open-source frameworks Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers Qualifications U.S. Citizenship is required Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills: Minimum 3 years experience with hands-on development of NLP models In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models Advanced software skills in Python Advanced ability in forming SQL queries A strong desire to learn, investigate, and implement cutting-edge technologies Ability to work collaboratively throughout the design process. Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience in deploying ML models in Kubernetes environments Experience developing custom training sets for large language models Experience productionizing transformer-based models We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Full-time Director of Product Operations role focused on building and scaling product operations processes in a high-growth tech environment supporting defense-related software. The position partners with product, engineering, design, and go-to-market teams to optimize workflows, drive planning cycles, implement tools, and enable data-informed product delivery. This individual contributor role reports to the SVP of Product and requires U.S. Citizenship. 🗂️ Requirements: U.S. Citizenship, 7+ years experience in product operations, program management, or product management in high-growth tech environments, Strong understanding of product development methodologies, Experience building scalable systems, workflows, and documentation from scratch, Experience leading planning cycles, roadmap reviews, and KPI development, Strong analytical skills and ability to create performance dashboards and reporting, Familiarity with Jira and Confluence, Bachelor's degree 📃 Skills: Jira, Confluence, KPI, Analytics, Roadmapping, Documentation, ProjectTracking, Reporting 🏢 Description: Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are looking for an experienced and strategic Director of Product Operations to build and lead our product operations function. In this critical leadership role, you will partner closely with product, engineering, design, and go-to-market teams to scale our product development processes, optimize cross-functional alignment, and enable the product team to operate more effectively and efficiently. You'll serve as the connective tissue between our goals and product delivery, ensuring the product organization is data-informed, aligned, and equipped to deliver high-impact outcomes. This is an individual contributor role reporting to the SVP of Product. In order to do this job well, you must possess exceptional judgment when it comes to identifying opportunities to improve the productivity of the product organization especially as it relates to other teams across the organization. You must work effectively across teams in often ambiguous circumstances, distilling operational problems into a clear set of objectives and solutions, and articulating the value of those solutions at all levels of the organization. In a typical week, you could expect to: Run cross-functional meetings to align on priorities, unblock teams, or drive quarterly planning initiatives Facilitate product team rituals, like planning sessions, weekly business reviews, and kick-offs, ensuring consistency and continuous improvement Act as the "connective tissue" between product, engineering, design, sales, and implementation teams—making sure teams are aligned and communicating efficiently Analyze our data to produce performance dashboards, KPIs, and insights that inform product strategy Prepare executive updates or product reviews that summarize progress, risks, and outcomes across multiple initiatives This role is a full-time position located in our Arlington, VA, or Pittsburgh, PA offices, and may require up to 20% travel. Scope of Responsibilities Design, optimize, and implement product development processes that can grow with the company – balancing structure with flexibility Lead quarterly and annual planning cycles, roadmap reviews, and KPI development to align stakeholders around shared goals Identify and remove friction in product workflows; implement systems that help teams move faster with clarity and confidence Partner with analytics to define success metrics, track performance, and deliver actionable reporting that informs decisions at all levels Ensure tight coordination between product, engineering, design, marketing, sales, and implementation teams—connecting our goals to product delivery Own the evaluation and implementation of key product tools (roadmapping, documentation, project tracking, feedback intake) Support product hiring, onboarding, and learning; help build a high-performing, well-supported product team Qualifications U.S. Citizenship is required Required Skills: 7+ years of experience in product operations, program management, or product management roles in high-growth tech environments Strong understanding of product development methodologies Experience building scalable systems, workflows, and documentation from scratch Exceptional written and oral communication skills across all levels of the business Highly analytical and detail-oriented, with a passion for operational excellence Comfort with ambiguity and a bias toward action Familiarity with tools like Jira, Confluence, etc. Ability to thrive in a fast-paced, dynamic work environment Self-starter, owner mentality Strong value orientation, understanding of what matters for our customers, and why Bachelor's degree Desired Skills: Experience in or around DoD Full product lifecycle experience, from early idea through production and maintenance Familiarity with the value proposition canvas and/or business model canvas frameworks Advanced degree in a business or technical field Experience in or exposure to the nuances of a startup or other entrepreneurial environment We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Oferta dotyczy pracy przy rozwoju platformy AI/NLP dla sektora finansowego, wykorzystującej architekturę mikroserwisową i przetwarzanie strumieniowe danych w czasie rzeczywistym. Rola obejmuje projektowanie, implementację i utrzymanie rozwiązań backendowych w Javie i Pythonie w międzynarodowym środowisku. Praca odbywa się w modelu hybrydowym z wykorzystaniem nowoczesnych praktyk CI/CD oraz współpracy w autonomicznych zespołach. 🗂️ Requirements: Minimum 5 lat komercyjnego doświadczenia programistycznego, Bardzo dobra znajomość Java, Komercyjne doświadczenie z Python, Gotowość do pracy w Java i Python, Znajomość JavaScript lub gotowość do prac frontendowych, Znajomość SOLID, Znajomość Clean Code, Znajomość DDD, Znajomość BDD, Doświadczenie z bazami SQL, Doświadczenie z bazami NoSQL, Doświadczenie z PostgreSQL, Doświadczenie z MongoDB, Doświadczenie z architekturą mikroserwisową, Doświadczenie z event streaming lub messaging, Umiejętność projektowania systemów, Bardzo dobra znajomość języka angielskiego 📃 Skills: Java, Python, Kotlin, Clojure, JavaScript, Bash, NLP, MachineLearning, AI, Kafka, PostgreSQL, MongoDB, SQL, NoSQL, Microservices, CI/CD, DDD, BDD, SOLID 🏢 Description: O projekcie Dołącz do zespołu, który rozwija platformę wykorzystująca sztuczną inteligencję i przetwarzanie języka naturalnego (NLP), aby usprawnić sposób, w jaki inwestorzy instytucjonalni korzystają z danych i usług rynków finansowych. Rozwiązanie umożliwia dostęp do danych rynkowych, analiz, wycen oraz informacji tradingowych w czasie rzeczywistym. W projekcie wykorzystywane są nowoczesne technologie AI, aby dostarczać klientom szybciej i skuteczniej wartościowe informacje wspierające podejmowanie decyzji inwestycyjnych. Praca w międzynarodowym środowisku obejmującym zespoły zlokalizowane w Polsce, Wielkiej Brytanii, USA, Kanadzie, Indiach, Chinach i Hongkongu. Autonomiczne zespoły, kulturę ciągłego dostarczania wartości oraz bliską współpracę z biznesem. Praca hybrydowa - 2 dni praca z biura zlokalizowanego w Krakowie. W projekcie pracujemy zarówno z Javą, jak i Pythonem. Szukamy osób z doświadczeniem w obu technologiach, niezależnie od tego, który z języków jest ich główną specjalizacją. Stack: Backend : Java (17+), Python, Kotlin i Clojure (wykorzystywane w wybranych komponentach) Inne: Bash, NLP, Machine Learning, AI, Event Streaming Architektura: mikroserwisowa, przetwarzanie strumieniowe danych CI/CD: podejście „flow-based” – ciągła integracja i produkcyjne wdrożenia dzienne Twoje zadania Praca w zespole liczącym 4–6 osób przy ścisłej współpracy z Product Ownerem. Analiza wymagań biznesowych oraz ich podział na mniejsze elementy funkcjonalne. Projektowanie, implementacja, testowanie i wdrażanie rozwiązań produkcyjnych. Udział we wszystkich etapach cyklu życia oprogramowania, w tym wsparciu środowiska produkcyjnego. Rozwijanie i utrzymywanie aplikacji opartych o architekturę mikroserwisową. Identyfikowanie i redukcja długu technicznego przy jednoczesnym rozwoju nowych funkcjonalności. Projektowanie rozwiązań zgodnych ze standardami architektonicznymi i technologicznymi organizacji. Współpraca w modelu pair programming oraz code review. Wspieranie członków zespołu poprzez dzielenie się wiedzą i najlepszymi praktykami. Współtworzenie rozwiązań wykorzystujących AI, NLP oraz technologie data-driven. Wymagania Minimum 5 lat doświadczenia komercyjnego w programowaniu. Bardzo dobra znajomość Java oraz komercyjne doświadczenie z Python (wymagana gotowość do pracy w obu technologiach) Znajomość JavaScript lub otwartość na drobne prace frontendowe. Bardzo dobra znajomość zasad projektowania oprogramowania: SOLID, Clean Code, DDD, BDD. Doświadczenie w pracy z bazami danych SQL i NoSQL (PostgreSQL, MongoDB). Doświadczenie w pracy z architekturą mikroserwisową. Doświadczenie w pracy z event streaming / messaging (np. Kafka) Umiejętność projektowania nowych systemów oraz wspierania innych inżynierów w procesie projektowym. Bardzo dobra znajomość języka angielskiego w mowie i piśmie. Mile widziane Doświadczenie w obszarach Machine Learning, NLP, AI lub Data Science. Doświadczenie z NLP, ML, AI. Znajomość środowiska instytucji finansowych (np. trading, inwestycje). Co oferujemy Pracę przy innowacyjnych projektach wykorzystujących AI i NLP w sektorze finansowym. Międzynarodowe środowisko pracy i współpracę z ekspertami z całego świata. Kulturę ciągłego rozwoju, eksperymentowania i dzielenia się wiedzą. Dużą autonomię i realny wpływ na rozwój produktów. Możliwość rotacji między zespołami i projektami technologicznymi. Dostęp do nowoczesnych technologii oraz środowiska wspierającego rozwój zawodowy.

🏢 Summary: Role focused on designing, building, and deploying AI/ML solutions end-to-end, from data exploration and experimentation to production deployment and MLOps. The position combines Data Science, ML Engineering, and collaboration with business stakeholders to translate data into actionable solutions. You will develop and maintain ML pipelines, monitor models, and contribute to AI standards within the organization. 🗂️ Requirements: Minimum 1.5 years of experience in Data Science, ML Engineering or MLOps, Proficiency in Python, Experience with ML/DL libraries (scikit-learn, pandas, numpy, PyTorch or TensorFlow), Knowledge of SQL, Experience working with structured and unstructured data, Experience building and deploying ML/AI models, Knowledge of Docker, Knowledge of Git or GitHub, Understanding of CI/CD basics, Experience with MLflow, DVC or Weights & Biases, Knowledge of statistics, model validation and A/B testing, English level B2 or higher 📃 Skills: Python, SQL, scikit-learn, pandas, numpy, PyTorch, TensorFlow, Docker, Git, GitHub, CI/CD, MLflow, DVC, Weights&Biases, MachineLearning, MLOps, Statistics, ABtesting 🏢 Description: Chcesz tworzyć rozwiązania AI, które mają realny wpływ na biznes? Szukamy osoby, która swobodnie porusza się między analizą danych, Machine Learningiem i MLOps, a jednocześnie potrafi rozmawiać z biznesem i przekładać dane na konkretne decyzje oraz wdrożenia. Dołączysz do zespołu rozwijającego nowoczesne rozwiązania AI — od eksploracji danych i eksperymentów, po wdrożenia modeli i rozwój standardów AI w organizacji. Wymagania Min. 1,5 roku doświadczenia w obszarze Data Science, ML Engineering lub MLOps Bardzo dobra znajomość Python oraz bibliotek ML/DL (scikit-learn, pandas, numpy, PyTorch lub TensorFlow) Znajomość SQL oraz pracy z danymi strukturalnymi i niestrukturalnymi Doświadczenie w budowie i wdrażaniu modeli ML/AI Znajomość Docker, Git/GitHub oraz podstaw CI/CD Doświadczenie z narzędziami MLflow, DVC lub Weights & Biases Wiedza z zakresu statystyki, walidacji modeli i testów A/B Umiejętność współpracy z biznesem i prezentowania wyników analiz Analityczne myślenie, dobra organizacja pracy i nastawienie na rezultat Język angielski min. B2 Mile widziane Wykształcenie kierunkowe (informatyka, matematyka, data science lub pokrewne) Doświadczenie w pracy z politykami bezpieczeństwa danych i etyką AI Zadania na stanowisku Analiza danych i identyfikacja obszarów do wykorzystania AI oraz ML Projektowanie, trenowanie i wdrażanie modeli Machine Learning Prowadzenie eksperymentów i monitorowanie jakości modeli po wdrożeniu Rozwój pipeline’ów CI/CD oraz konteneryzacja środowisk ML z użyciem Docker Wersjonowanie modeli, danych i kodu oraz dokumentowanie prac projektowych Współpraca z zespołami Data Engineering, Backend i DevOps Prezentowanie wyników analiz oraz rekomendacji dla biznesu Udział w rozwoju standardów i rozwiązań AI w organizacji Co oferujemy Udział w nowoczesnych projektach AI i Data Science Pracę z nowoczesnym stackiem technologicznym Realny wpływ na rozwój rozwiązań analitycznych w organizacji Wynagrodzenia złożone z podstawy i premii - regulaminowej rozliczanej kwartalnie (budżet premii 10% wynagrodzenia zasadniczego kwartalnego) Możliwość doskonalenia zawodowego - finansowane przez firmę szkolenia i podnoszenie kwalifikacji Pakiet benefitów - prywatna opieka medyczna, ubezpieczenia grupowe, możliwość skorzystania z pakietu sportowego (karta Multisport) Dostęp do platformy e-learningowej z bogatą bazą kursów Imprezy integracyjne

🏢 Summary: Oferta dotyczy rozwoju platformy AI/NLP dla sektora finansowego, wspierającej inwestorów instytucjonalnych poprzez analizę danych i informacji rynkowych w czasie rzeczywistym. Rola obejmuje projektowanie i rozwój mikroserwisów w środowisku opartym głównie o Java i Python, z wykorzystaniem event streamingu oraz nowoczesnych praktyk CI/CD. Praca odbywa się w międzynarodowym środowisku hybrydowym z dużą autonomią i współpracą międzyzespołową. 🗂️ Requirements: Minimum 5 lat doświadczenia komercyjnego w programowaniu, Bardzo dobra znajomość Python, Komercyjne doświadczenie z Java, Gotowość do pracy w Python i Java, Znajomość JavaScript lub gotowość do drobnych prac frontendowych, Znajomość SOLID, Znajomość Clean Code, Znajomość DDD, Znajomość BDD, Doświadczenie z bazami danych SQL i NoSQL, Doświadczenie z PostgreSQL, Doświadczenie z MongoDB, Doświadczenie z architekturą mikroserwisową, Doświadczenie z event streaming lub messaging, Umiejętność projektowania systemów, Bardzo dobra znajomość języka angielskiego 📃 Skills: Java, Python, Kotlin, Clojure, JavaScript, Bash, NLP, MachineLearning, AI, Kafka, PostgreSQL, MongoDB, SQL, NoSQL, Microservices, CI/CD, DDD, BDD, SOLID 🏢 Description: O projekcie Dołącz do zespołu, który rozwija platformę wykorzystująca sztuczną inteligencję i przetwarzanie języka naturalnego (NLP), aby usprawnić sposób, w jaki inwestorzy instytucjonalni korzystają z danych i usług rynków finansowych. Rozwiązanie umożliwia dostęp do danych rynkowych, analiz, wycen oraz informacji tradingowych w czasie rzeczywistym. W projekcie wykorzystywane są nowoczesne technologie AI, aby dostarczać klientom szybciej i skuteczniej wartościowe informacje wspierające podejmowanie decyzji inwestycyjnych. Praca w międzynarodowym środowisku obejmującym zespoły zlokalizowane w Polsce, Wielkiej Brytanii, USA, Kanadzie, Indiach, Chinach i Hongkongu. Autonomiczne zespoły, kulturę ciągłego dostarczania wartości oraz bliską współpracę z biznesem. Praca hybrydowa - 2 dni praca z biura zlokalizowanego w Krakowie. W projekcie pracujemy zarówno z Javą, jak i Pythonem. Szukamy osób z doświadczeniem w obu technologiach, niezależnie od tego, który z języków jest ich główną specjalizacją. Stack: Backend : Java (17+), Python, Kotlin i Clojure (wykorzystywane w wybranych komponentach) Inne: Bash, NLP, Machine Learning, AI, Event Streaming Architektura: mikroserwisowa, przetwarzanie strumieniowe danych CI/CD: podejście „flow-based” – ciągła integracja i produkcyjne wdrożenia dzienne Twoje zadania Praca w zespole liczącym 4–6 osób przy ścisłej współpracy z Product Ownerem. Analiza wymagań biznesowych oraz ich podział na mniejsze elementy funkcjonalne. Projektowanie, implementacja, testowanie i wdrażanie rozwiązań produkcyjnych. Udział we wszystkich etapach cyklu życia oprogramowania, w tym wsparciu środowiska produkcyjnego. Rozwijanie i utrzymywanie aplikacji opartych o architekturę mikroserwisową. Identyfikowanie i redukcja długu technicznego przy jednoczesnym rozwoju nowych funkcjonalności. Projektowanie rozwiązań zgodnych ze standardami architektonicznymi i technologicznymi organizacji. Współpraca w modelu pair programming oraz code review. Wspieranie członków zespołu poprzez dzielenie się wiedzą i najlepszymi praktykami. Współtworzenie rozwiązań wykorzystujących AI, NLP oraz technologie data-driven. Wymagania Minimum 5 lat doświadczenia komercyjnego w programowaniu. Bardzo dobra znajomość Python oraz komercyjne doświadczenie z Java (wymagana gotowość do pracy w obu technologiach) Znajomość JavaScript lub otwartość na drobne prace frontendowe. Bardzo dobra znajomość zasad projektowania oprogramowania: SOLID, Clean Code, DDD, BDD. Doświadczenie w pracy z bazami danych SQL i NoSQL (PostgreSQL, MongoDB). Doświadczenie w pracy z architekturą mikroserwisową. Doświadczenie w pracy z event streaming / messaging (np. Kafka) Umiejętność projektowania nowych systemów oraz wspierania innych inżynierów w procesie projektowym. Bardzo dobra znajomość języka angielskiego w mowie i piśmie. Mile widziane Doświadczenie w obszarach Machine Learning, NLP, AI lub Data Science. Doświadczenie z NLP, ML, AI. Znajomość środowiska instytucji finansowych (np. trading, inwestycje). Co oferujemy Pracę przy innowacyjnych projektach wykorzystujących AI i NLP w sektorze finansowym. Międzynarodowe środowisko pracy i współpracę z ekspertami z całego świata. Kulturę ciągłego rozwoju, eksperymentowania i dzielenia się wiedzą. Dużą autonomię i realny wpływ na rozwój produktów. Możliwość rotacji między zespołami i projektami technologicznymi. Dostęp do nowoczesnych technologii oraz środowiska wspierającego rozwój zawodowy.

🏢 Summary: Senior AI/ML Process Engineer role supporting DoD modernization of Risk Management Framework (RMF) processes through AI, automation, and emerging technologies. The position focuses on analyzing cybersecurity workflows, identifying automation opportunities, and implementing AI-driven solutions to improve RMF efficiency and accuracy. Hybrid role with travel to Fort Meade, MD and Chambersburg, PA. 🗂️ Requirements: Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or related field, 15+ years of experience including 5+ years in process improvement, business process analysis, cybersecurity operations, AI/ML, or digital transformation, Experience evaluating or implementing AI, ML, Generative AI, NLP, or intelligent automation solutions, Experience conducting technical analysis and developing process improvement recommendations, Current DoD Secret Clearance, Current DoD 8570/8140 compliant certification (Security+, CAP, CISSP, CISM, or equivalent), Proficiency in Microsoft Visio for process modeling and BPMN, Working knowledge of DoD RMF and NIST 800-37/800-53 frameworks, Working knowledge of workflow automation tools such as ServiceNow, Jira, or RPA, Knowledge of AI/ML concepts, LLMs, Generative AI, NLP, and intelligent document processing 📃 Skills: AI, ML, GenerativeAI, LLMs, NLP, RPA, ServiceNow, Jira, Visio, PowerPoint, BPMN, RMF, NIST, STIG, CNSSI, DoDI, AzureAI, AWS, OpenAI, Anthropic 🏢 Description: About Us AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. AGE Solutions is seeking a Senior AI/ML Process Engineer to support a DoD customer in modernizing Risk Management Framework (RMF) processes through automation, artificial intelligence, and emerging technologies. This position will help identify, evaluate, and recommend opportunities to leverage Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing technologies to improve the speed, accuracy, and efficiency of cybersecurity and risk management operations. The successful candidate will work closely with process engineers, cybersecurity professionals, and government stakeholders to assess current workflows and develop innovative solutions that accelerate RMF execution and reduce manual effort. Responsibilities Include: - Conduct analysis of RMF-related business processes and identify opportunities for AI-enabled modernization. - Evaluate emerging technologies including Generative AI, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing. - Assess opportunities to automate cybersecurity and RMF activities, including: - Control assessments - Evidence reviews - STIG development and maintenance - Ticket triage - Connection package reviews - Cross Domain risk analysis - Collaborate with process engineers to develop future-state workflows incorporating AI and automation technologies. - Support development of implementation roadmaps and modernization strategies. - Research commercial and government AI capabilities applicable to RMF and cybersecurity operations. - Develop executive briefings, white papers, recommendations, and technical documentation. - Support pilot initiatives and proof-of-concept activities. - Assist with workflow automation initiatives using ServiceNow, Jira, RPA, and related technologies. Required Skills, Qualifications and Experience: Education: - Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or related discipline. Experience: - 15 years of experience with a minimum of 5 years in process improvement, business process analysis, cybersecurity operations, AI/ML technologies, or digital transformation initiatives. - Experience evaluating or implementing AI, ML, Generative AI, NLP, or intelligent automation solutions. - Experience conducting technical analysis and developing recommendations for process improvement initiatives. Security Clearance: - Must have a current DoD Secret Clearance. Certifications: - Must have a current DoD 8570/8140 compliant certification (Security+, CAP, CISSP, CISM, or equivalent). Skills and Knowledge: - Proficiency with Microsoft Visio, including process modeling, BPMN, swim-lane diagrams, and workflow analysis. - Proficiency with Microsoft PowerPoint and executive-level presentation development. - Working knowledge of DoD RMF, NIST SP 800-37, NIST SP 800-53, CNSSI-1253, and DoDI 8500.01/8510.01. - Familiarity with STIG/SRG/CCI development, A&A processes, Cloud A&A processes, or cloud cybersecurity architecture. - Working knowledge of workflow automation technologies including ServiceNow, Jira, and Robotic Process Automation (RPA). - Knowledge of AI/ML concepts, LLMs, Generative AI, NLP, and intelligent document processing technologies. - Strong analytical, research, technical writing, and problem-solving skills. Location: - Hybrid position with periodic travel to Fort Meade, MD and Chambersburg, PA. Preferred Qualifications: - Experience supporting DISA, DoD, or federal cybersecurity programs. - Experience with Azure AI, AWS AI/ML services, OpenAI, Anthropic, or similar enterprise AI platforms. - Familiarity with AI governance and responsible AI principles. - Experience developing strategic technology roadmaps and modernization recommendations. - Certifications in cloud-based AI/ML technologies (AWS Certified AI Practitioner, Microsoft Azure AI Fundamentals, Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent). - Lean Six Sigma certification or process improvement experience. Compensation and Benefits: - Projected salary range: $170,000+ annually, based on experience, clearance level, certifications, technical skillset, contract requirements, and qualifications. - 26 days paid leave (vacation, sick, personal time, holidays). - Performance bonuses based on individual and company results. - 401(k) with 3% match and immediate vesting. - Company-paid life insurance up to $300K. - Multiple medical, dental, vision, FSA, and HSA options. - 15 days fully paid parental leave. - Military differential pay. - Paid training, certifications, and tuition reimbursement. - Profit-sharing commitment in the event of a company sale.

🏢 Summary: Senior Machine Learning Engineer role focused on designing, developing, and deploying advanced AI models across NLP-driven document intelligence and predictive analytics initiatives. The position covers the full ML lifecycle, including LLM pipeline design, forecasting and optimization models, and production-grade MLOps in secure on-premise environments. The role operates within an agile framework with strong emphasis on robustness, explainability, and scalable deployment. 🗂️ Requirements: 5+ years of Machine Learning Engineering experience, Proven experience deploying ML models to production, Expert-level Python proficiency, Hands-on experience with PyTorch, TensorFlow, Scikit-learn, Strong experience with transformer architectures (BERT, GPT, Llama), Experience with NLP frameworks such as Hugging Face or LangChain, Experience with Docker and Kubernetes, Experience with MLflow or similar MLOps tools, Experience building data preprocessing pipelines for structured and unstructured data, Experience designing time-series forecasting models, Experience building classification and anomaly detection models, Ability to implement optimization algorithms, Experience working in agile environments 📃 Skills: Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, BERT, GPT, Llama, HuggingFace, LangChain, Docker, Kubernetes, MLflow, Kubeflow, SQL, NLP, LLM, RAG 🏢 Description: N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact. We are looking for a Senior Machine Learning Engineer to lead the development and deployment of advanced AI models. In this role, you will be responsible for the end-to-end lifecycle of our machine learning systems, from architectural design and data preprocessing to model training, optimization, and production deployment. You will work at the intersection of generative AI and traditional machine learning, building the engines that power two strategic AI initiatives spanning NLP-based document intelligence and predictive analytics. Operating within a structured agile delivery model with formal review gates, you will ensure our models are not just accurate, but also robust, explainable, and deployable within highly secure, on-premise environments. Key Responsibilities: LLM and NLP Pipelines Design and fine-tune Large Language Model (LLM) pipelines to interpret complex regulatory texts (e.g. standards, building codes) and extract structured rules. Convert natural language requirements into computer-processable formats (e.g., logic tuples) that can be executed by downstream compliance engines. Implement RAG (Retrieval-Augmented Generation) architectures to enable semantic querying of technical documentation and historical project data. Optimize prompt strategies (few-shot learning, chain-of-thought) to improve model performance on domain-specific tasks without extensive retraining. Predictive and Analytical Models (Supply Chain) Develop time-series forecasting models to predict material demand and spend categories, integrating internal ERP data with external market signals. Build classification and anomaly detection models to assess supplier risk profiles based on financial health, delivery performance, and geopolitical factors. Design algorithms for multi-objective optimization(e.g., balancing cost vs. lead time vs. risk) to support procurement decision-making. MLOps and Productionization Containerize models using Docker/Kubernetes and deploy them into secure, on-premise inference environments. Build automated training and inference pipelines using tools like Kubeflow or MLflow to ensure reproducibility and scalability. Optimize model inference latency and resource usage (e.g., quantization, distillation) to run efficiently on available hardware. Implement monitoring systems to track model drift and performance in production, establishing feedback loops for continuous improvement. Requirements: 5+ years of experience in Machine Learning Engineering, with a proven track record of deploying models into production environments. Expert proficiency in Python and standard ML libraries (PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy). Strong experience with transformer architectures (BERT, GPT, Llama) and NLP frameworks (Hugging Face, LangChain). Proficiency with MLOps tools and practices, including containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLflow). Ability to design data preprocessing pipelines for both structured (SQL, tabular) and unstructured (text, PDF) data. Strong grasp of algorithmic principles for implementing custom logic, such as graph traversal or geometric computations. Ability to quickly learn and apply ML techniques to specialized domains like engineering, supply chain, or other highly regulated industries. Experience working in agile environments (Sprints) while adhering to rigorous engineering standards and documentation requirements. Strong communication skills to work effectively with Data Scientists, Backend Engineers, and Domain Experts to align technical solutions with business needs.

🏢 Summary: Full-time Data Platform Engineer role focused on designing and scaling cloud-based data platforms that power AI/ML and analytics solutions for government market intelligence. The position involves building and maintaining data pipelines, enhancing platform architecture, and collaborating cross-functionally to deliver secure, reliable, and high-quality data solutions. Based in Pittsburgh with limited travel, this role requires strong expertise in Python, SQL, big data frameworks, and cloud-native architectures. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in Computer Science, Mathematics or related technical field, 5+ years experience building and maintaining scalable data platforms or services, Strong proficiency in Python, Strong proficiency in SQL, Experience architecting and implementing data pipeline frameworks including orchestration, Understanding of data security and governance best practices, Hands-on experience with big data frameworks, Knowledge of cloud-native data lake or lakehouse architectures, Ability to support AI, machine learning, data science, and web application data needs 📃 Skills: Python, SQL, Apache, Spark, AWS, AI, MachineLearning, DataScience, DataPipelines, Cloud, DataLake, Lakehouse 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking an exceptional and experienced data platform engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed, real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated engineer to join our team to lead us in uncovering truth and meaning in data. You must be hands-on with a strong understanding of both data platforms and cloud infrastructure. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Air platform SMEs. In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity and produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Design and implement platform architecture enhancements to support scalability and reliability Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software Evaluate and integrate emerging technologies to improve the data platform Collaborate with teams across the organization to understand business needs and translate them into data solutions Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices Qualifications U.S. Citizenship is required Bachelor's degree in Computer Science, Mathematics or a related technical field Required Skills: 5+ years of experience in building and maintaining scalable data platforms or services Strong proficiency in Python and SQL Proven experience in architecting and implementing data pipeline frameworks, including orchestration Solid understanding of data security and governance best practices Hands-on with big data frameworks, such as Apache Spark Knowledge of cloud-native data lake/lakehouse architectures Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications Strong analytical skills and attention to detail Ability to work independently in a fast-paced environment A passion for solving complex problems and building sustainable, scalable systems Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience using Amazon Web Services Experience in or exposure to the nuances of a startup or other entrepreneurial environment Working knowledge of large (multiple terabytes) amounts of data We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Rola Senior Software Engineera w międzynarodowym projekcie rozwijającym platformę AI/NLP do analizy danych rynków finansowych w czasie rzeczywistym. Praca obejmuje projektowanie i rozwój mikroserwisowych systemów przetwarzania strumieniowego z wykorzystaniem Pythona i Javy. Zespół pracuje w modelu hybrydowym, dostarczając rozwiązania produkcyjne w podejściu ciągłej integracji i wdrożeń. 🗂️ Requirements: Minimum 5 lat komercyjnego doświadczenia w programowaniu, Bardzo dobra znajomość Python, Dobra znajomość Java 17+, Doświadczenie ze Spring Framework, Znajomość JavaScript, Znajomość zasad SOLID, Clean Code, DDD, BDD, Doświadczenie z bazami danych SQL i NoSQL (PostgreSQL, MongoDB), Doświadczenie z architekturą mikroserwisową, Doświadczenie z event streaming / messaging (np. Kafka), Umiejętność projektowania systemów i wsparcia innych inżynierów, Bardzo dobra znajomość języka angielskiego 📃 Skills: Python, Java, Spring, JavaScript, SQL, NoSQL, PostgreSQL, MongoDB, Kafka, Microservices, Bash, NLP, MachineLearning, AI, EventStreaming, CI/CD 🏢 Description: O projekcie Dołącz do zespołu, który rozwija platformę wykorzystująca sztuczną inteligencję i przetwarzanie języka naturalnego (NLP), aby usprawnić sposób, w jaki inwestorzy instytucjonalni korzystają z danych i usług rynków finansowych. Rozwiązanie umożliwia dostęp do danych rynkowych, analiz, wycen oraz informacji tradingowych w czasie rzeczywistym. W projekcie wykorzystywane są nowoczesne technologie AI, aby dostarczać klientom szybciej i skuteczniej wartościowe informacje wspierające podejmowanie decyzji inwestycyjnych. Praca w międzynarodowym środowisku obejmującym zespoły zlokalizowane w Polsce, Wielkiej Brytanii, USA, Kanadzie, Indiach, Chinach i Hongkongu. Autonomiczne zespoły, kulturę ciągłego dostarczania wartości oraz bliską współpracę z biznesem. Praca hybrydowa - 2 dni praca z biura zlokalizowanego w Krakowie. Technologie w projekcie: Backend: Java (17+), Python, Kotlin, Clojure Frontend: JavaScript, Inne: Bash, NLP, Machine Learning, AI, Event Streaming Architektura: mikroserwisowa, przetwarzanie strumieniowe danych CI/CD: podejście „flow-based” – ciągła integracja i produkcyjne wdrożenia dzienne Twoje zadania Praca w zespole liczącym 4–6 osób przy ścisłej współpracy z Product Ownerem. Analiza wymagań biznesowych oraz ich podział na mniejsze elementy funkcjonalne. Projektowanie, implementacja, testowanie i wdrażanie rozwiązań produkcyjnych. Udział we wszystkich etapach cyklu życia oprogramowania, w tym wsparciu środowiska produkcyjnego. Rozwijanie i utrzymywanie aplikacji opartych o architekturę mikroserwisową. Identyfikowanie i redukcja długu technicznego przy jednoczesnym rozwoju nowych funkcjonalności. Projektowanie rozwiązań zgodnych ze standardami architektonicznymi i technologicznymi organizacji. Współpraca w modelu pair programming oraz code review. Wspieranie członków zespołu poprzez dzielenie się wiedzą i najlepszymi praktykami. Współtworzenie rozwiązań wykorzystujących AI, NLP oraz technologie data-driven. Wymagania Minimum 5 lat doświadczenia komercyjnego w programowaniu. Bardzo dobra znajomość Python. Dobra znajomość Java 17+ Praktyczne doświadczenie ze Spring Framework. Znajomość JavaScript. Bardzo dobra znajomość zasad projektowania oprogramowania: SOLID, Clean Code, DDD, BDD. Doświadczenie w pracy z bazami danych SQL i NoSQL (PostgreSQL, MongoDB). Doświadczenie w pracy z architekturą mikroserwisową. Doświadczenie w pracy z event streaming / messaging (np. Kafka) Umiejętność projektowania nowych systemów oraz wspierania innych inżynierów w procesie projektowym. Bardzo dobra znajomość języka angielskiego w mowie i piśmie. Mile widziane Doświadczenie w obszarach Machine Learning, NLP, AI lub Data Science. Doświadczenie z NLP, ML, AI. Znajomość środowiska instytucji finansowych (np. trading, inwestycje). Znajomość mniej popularnych języków funkcyjnych (np. Haskell, Rust, Julia). Co oferujemy Pracę przy innowacyjnych projektach wykorzystujących AI i NLP w sektorze finansowym. Międzynarodowe środowisko pracy i współpracę z ekspertami z całego świata. Kulturę ciągłego rozwoju, eksperymentowania i dzielenia się wiedzą. Dużą autonomię i realny wpływ na rozwój produktów. Możliwość rotacji między zespołami i projektami technologicznymi. Dostęp do nowoczesnych technologii oraz środowiska wspierającego rozwój zawodowy.