Bioinformatics Scientist

🏢 Summary: Computer Systems Analyst position supporting biomedical research at NIH, focused on developing high-performance computing solutions, machine learning–based image analysis, and specialized software for experimental data processing and statistical analysis. The role involves building and maintaining scientific computing systems, automating data workflows, and collaborating with researchers to enhance data productivity and infrastructure. Candidates will contribute to advanced imaging analysis, numerical simulations, and data engineering in a research-driven environment. 🗂️ Requirements: Experience with high-performance computing environments, Proficiency in modern programming languages and code libraries, Experience with machine learning and deep learning methods, Experience in image analysis and experimental data processing, Ability to perform statistical analysis using standard statistical techniques, Experience developing customized software for scientific research, Ability to support and maintain scientific computer systems and infrastructure, Experience with data engineering pipelines and data science stacks, Ability to provide technical and project management support, Experience with quality assurance and validation processes 📃 Skills: Python, R, MachineLearning, DeepLearning, CNN, HPC, ImageAnalysis, StatisticalAnalysis, DataEngineering, Linux, MRI, ConfocalMicroscopy, SIM, FIB-SEM 🏢 Description: Axle is seeking a Computer Systems Analyst to support the National Institute on Aging (NIA) at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Position Information: The purpose of this position is to assist NIA Computer Systems Analyst and tasks to include but not limited to: Collaborate with staff to increase the productivity and efficiency of data analysis using high-performance computing Develop dedicated and efficient computer software using state-of-the-art computer science approaches, including modern programming languages and code libraries, machine learning, cross-platform programming, and high-performance computing, including: Automating data segmentation and data visualization Developing numerical model simulations and high-performance computing Performing/generating image analysis, including deep convolutional neural networks Detecting and analyzing subcellular signaling events Participate in research projects by creating specialized computer software to effectively and automatically analyze experimental data, including imaging data generated by different imaging techniques such as high-speed cameras, confocal microscopy, super-resolution SIM imaging, FIB-SEM imaging, MRI imaging as well as data generated by numerical model simulations Develop customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses Provides technical experience needed to perform analyses, processing and user support of various computer systems using standard statistical procedures and techniques: Provide project management guidance and assistance to specific projects and activities Provide statistical support to staff, including data analysis and the generation tools for researchers to use Interface with staff as needed to gather project requirements, develop project plan with web team, and help execute plan Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment Sets up and uses various computer systems and software packages: Collaborate with staff to increase the productivity and efficiency of data analysis using high-performance computing Perform statistical analysis of experimental data obtained at various time points Determine needs and provide IT support for computerized systems supporting activities Work with staff on the evolving infrastructure, data engineering pipeline, and data science stacks Compiles and manages data and assists with quality control: Perform quality assurance and quality control; troubleshoot issues with image analysis and quality Analyze results of the data that are collected during experimental studies; perform statistical analysis using statistical analysis software Produces various reports, graphs and figures for presentation: Prepare data and analysis for presentations and publication Prepare research data for presentation and manuscripts Interface with the statistical programming team to develop programming standards and assist the team with validation and change control documentation Deliverables: Work products and documents related to increasing the productivity/efficiency of data analysis using high-performance computing. - Ad-Hoc Work products and documents related to developing dedicated and efficient computer software using state-of-the-art computer science approaches, including modern programming languages and code libraries, machine learning, cross-platform programming, and high-performance computing. - Ad-Hoc Work products and documents related to automating data segmentation and data visualization; developing numerical model simulations and high-performance computing; performing/generating image analysis, including deep convolutional neural networks; detecting and analyzing subcellular signaling events. - Ad-Hoc Work products and documents related to creating specialized computer software to effectively and automatically analyze experimental data, including imaging data generated by different imaging techniques. - Ad-Hoc Work products and documents related to developing customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses. - Ad-Hoc Clean Equipment - Weekly Run Validation - Weekly Inspect Equipment - Weekly Meet with lab members to present updates - Weekly Salary Range: $90,000—$105,000 USD

🏢 Summary: The role involves operating and supporting advanced flow cytometry instrumentation within a research facility, including high-dimensional cell analysis and sorting in regulated laboratory environments. The position focuses on independent instrument operation, quality control, troubleshooting, user training, and assay development. It supports cutting-edge research through technical expertise in cytometry methods and laboratory best practices. 🗂️ Requirements: Minimum 3 years of experience in flow cytometry, Experience working in BSL2 laboratories, Proficiency in basic laboratory techniques including sample preparation and cell culture, Experience with flow cytometry methods such as immunophenotyping and cell cycle analysis, Ability to perform instrument quality control, maintenance, and troubleshooting, Experience assisting with SOP preparation for GLP work, Proficiency with Microsoft Office and data analysis programs, Strong understanding of laboratory biosafety standards 📃 Skills: FlowCytometry, CellSorting, Immunophenotyping, CellCulture, SpectralCytometry, ImagingCytometry, QualityControl, GLP, BSL2, BSL3, MicrosoftOffice, DataAnalysis 🏢 Description: (ID: 2026-1658) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Axle is seeking an outstanding Flow Cytometry Specialist to join our team in Bethesda, MD. The Flow Cytometry Section (FCS), Research Technologies Branch (RTB), Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH),) offers NIAID investigators in Bethesda, Maryland and at the Rocky Mountain Laboratories (RML) in Hamilton, Montana access to cutting-edge cytometric technologies and instrumentation for high dimensional cell analysis and sorting. In addition, FCS provides training, consultation, method development, assistance with data interpretation, and support for experiments involving broad aspects of unique cytometry applications including operations in high containment laboratories. Responsibilities Contribute to all aspects of facility operation, including flow cytometry analysis and cell sorting with added emphasis on independent operation of instruments. Perform daily Quality Control and maintenance. Perform troubleshooting of Flow Cytometry equipment. Provide support to researchers in operating instruments. Assist with user training and panel development. Perform sample preparation and staining for flow cytometry analysis. Assist in the preparation of SOPs and related documents for GLP work. Comply with safety guidelines and requirements by following and ensuring strict safety procedures and safety checks. Assist in Research and Development programs for new assays and technologies within the facility. Qualifications Minimum three (3) years of demonstrated experience in flow cytometry. Experience of work at BSL2. Additional experience of BSL3 would be beneficial. Proficiency with basic laboratory techniques (sample preparation, cell culture) and flow cytometry methods such as immunophenotyping, cell cycle analysis, etc. Experience in high parameter flow cytometry, spectral flow cytometry, imaging flow cytometry or cell sorting will be an advantage. Good understanding of laboratory biosafety standards. Proficiency in the use of Microsoft Office including knowledge of computer systems and ability to work independently with data analysis programs Ability to multi-task in a busy facility and to approach tasks and obstacles with a team-first mentality. Development of new methods that extend the scope of flow cytometry at the facility will require excellent laboratory skills and a high level of desire to learn new skills. Experience/Knowledge Demonstrated significant depth and breadth of subject level expertise. Demonstrated awareness of latest developments in the project specialty areas. Skills Excellent communication skills and ability to work in a team environment with co-workers, expertise ranging from novice to experts. Ability to advise and work at a high level with a variety of collaborators from diverse laboratories Good record keeping and organizational skills Attributes Innovative provider of creative solutions. Enthusiastic, self-motivated and self-supervising team member. Organizational ability to plan and deliver work to meet required deadlines. Resilience in working to achieve team objectives and to overcome obstacles. Demonstrated ability to be an effective team member. Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. #IND Salary Range$70,000—$80,000 USD

🏢 Summary: Senior Data Scientist / AI Engineer role focused on designing and deploying production-ready AI solutions for the insurance industry. The position involves building Agentic AI systems, LLM and RAG-based applications, and Computer Vision solutions from architecture through production deployment. The offer includes flexible work formats, professional development opportunities, and competitive compensation. 🗂️ Requirements: 5+ years of commercial experience as Data Scientist or AI Engineer, Strong Python development skills, Hands-on experience with Machine Learning, Hands-on experience with Deep Learning, Hands-on experience with Generative AI, Experience with LLMs, Experience with RAG architectures, Experience with AI Agent frameworks, Experience building production AI systems, Solid software engineering background, Experience with data analysis and AI product development, Degree in Computer Science, Data Science, Mathematics, Physics, Engineering or equivalent technical background, Upper-intermediate English level, Ability to design scalable AI solutions 📃 Skills: Python, MachineLearning, DeepLearning, GenerativeAI, LLMs, RAG, ComputerVision, AgenticAI, MultiAgentSystems 🏢 Description: (#5468) N-iX  is looking for an experienced Senior Data Scientist with a strong focus on AI Engineering. The role involves designing and delivering production-ready AI solutions for the insurance industry, with a particular emphasis on Agentic AI, LLMs, RAG pipelines, and Computer Vision. Key Responsibilities: Design and develop autonomous AI agent systems for the insurance domain Build production-ready AI solutions using: Multi-Agent Systems Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Computer Vision Research, evaluate, and implement state-of-the-art AI technologies Develop scalable AI products for international markets Collaborate with a team of Data Scientists and AI Engineers Take AI solutions from architecture and proof of concept through production deployment Participate in building proprietary AI models for the insurance industry Required Skills: 5+ years of commercial experience as a Data Scientist / AI Engineer Strong Python development skills Hands-on experience with: Machine Learning Deep Learning Generative AI LLMs RAG architectures AI Agent frameworks Experience building production AI systems Solid software engineering background Experience with data analysis and AI product development Degree in Computer Science/Data Science/Mathematics/Physics/Engineering or equivalent technical background Upper-intermediate+ English level Strong analytical thinking, proactive mindset Ability to design scalable AI solutions Ability to explain complex technical concepts Independent and structured way of working Team player Nice to Have: Experience within the insurance industry German or Spanish language skills We offer: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Remote Data Scientist V contract role focused on advanced analytics, experimentation, and data-driven decision-making for new product development. The position involves building statistical models, designing A/B tests and KPI frameworks, and partnering with cross-functional teams to influence product strategy. Candidates should have strong expertise in Python, SQL, statistics, and product analytics in fast-paced technology environments. 🗂️ Requirements: Experience supporting 0-to-1 product development with data science, Proficiency in Python, Advanced SQL experience, Strong statistics knowledge, Experience with A/B testing, Experience designing KPI frameworks, Knowledge of operational research techniques, Ability to translate analytical findings into business recommendations, Ability to manage multiple priorities, Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or related field, Eligibility to work on direct W2 without sponsorship 📃 Skills: Python, SQL, Statistics, Modeling, Analytics, Forecasting, Optimization, Simulation, Experimentation, Dashboards, Automation, Regression 🏢 Description: itD is seeking a Data Scientist V to drive data-informed decision-making for new product development by delivering advanced analytics, experimentation, and actionable insights across cross-functional teams. The ideal candidate will bring deep expertise in data science, statistical analysis, and product analytics, along with a proven track record of supporting 0-to-1 product development, designing measurement frameworks, and influencing product strategy through data. Duration: 6 Months We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities - Analyze large, complex datasets to identify trends, business opportunities, and key drivers that influence product performance. - Design, execute, and evaluate experiments, including A/B tests, KPI frameworks, and measurement strategies for new product initiatives. - Develop reproducible analyses, dashboards, and reporting solutions to enable ongoing product and business performance monitoring. - Build statistical models and operational research solutions to support forecasting, optimization, prioritization, and strategic planning. - Partner with product managers, engineers, and cross-functional stakeholders to translate business questions into scalable analytical solutions. - Present analytical findings and recommendations to technical and non-technical audiences, enabling data-driven product decisions. - Validate data quality, document analytical methodologies, and ensure accuracy and consistency across reporting and insights. Internal Responsibilities - Attend regular internal practice community meetings. - Collaborate with your practice team on industry thought leadership. - Complete client case studies and learning material. - Build out material to contribute to the Digital Transformation practice. - Attend internal networking events. - Work with leadership on career fast-track opportunities. Required Qualifications and Skills - Proven experience using data science to support 0-to-1 product development. - Strong proficiency in Python for data analysis, statistical modeling, and automation. - Advanced experience with SQL for querying, transforming, and analyzing large-scale datasets. - Strong knowledge of statistics, including hypothesis testing, regression analysis, experimental design, and statistical inference. - Experience designing and evaluating A/B tests, KPI frameworks, and measurement methodologies. - Knowledge of operational research techniques, including optimization, simulation, or decision analysis. - Experience translating complex analytical findings into actionable business recommendations. - Ability to manage multiple priorities and deliver high-quality analytical work in a fast-paced environment. Preferred Qualifications and Skills - Experience building or supporting data pipelines or a data engineering background. - Previous experience at a large technology company. - Experience supporting rapid product innovation within consumer technology environments. - Experience partnering closely with product teams on product strategy and experimentation. Education - Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative field, or equivalent work experience required. Benefits - Comprehensive medical benefits - 401(k) plan - Paid holidays

🏢 Summary: Full Stack Engineer role on an AI Data Application team focused on accelerating ML dataset generation and data search applications to reduce development cycles for pipelines and models. The position involves building next-generation data curation and search tools, collaborating cross-functionally, and mentoring engineers. The goal is to enable scalable, production-ready systems supporting a driverless future. 🗂️ Requirements: BS or MS in Computer Science or related field, 4+ years of professional experience building web applications, Extensive experience building web applications for search and data curation, Strong programming skills in Typescript, Strong programming skills in Python, Strong knowledge of React, Strong experience building REST services, Strong experience building gRPC services, Strong knowledge of AWS (EKS, Lambda), Experience with Terraform 📃 Skills: Typescript, Python, React, REST, gRPC, AWS, EKS, Lambda, Terraform, Bazel 🏢 Description: Mission Summary: We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future. What You'll Be Doing: Cross-functional Collaboration: - Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. - Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. Development: - Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. - Mentor junior engineers and peers on best practices and adoption strategies. What We're Looking For Experience: - BS or MS in Computer Science or related field - 4+ years of professional experience in building web applications - Extensive experience with building web applications for search and data curation needs Technical Skills: - Strong programming skills in Typescript and Python - Strong knowledge of modern frontend technologies such as React - Strong knowledge of building REST and gRPC based services, ideally in Python - Strong knowledge of AWS ecosystem (EKS, Lambda, etc.) and Terraform Bonus Points (not required): - Prior experience in autonomous vehicles (AV) - Prior experience with Bazel based build systems Work Arrangement: We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. Compensation & Benefits: The salary range for this role is $149,000—$198,500 USD. This role may include additional forms of compensation such as a bonus or company equity. Candidates are eligible to participate in a benefits program that includes medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Full Stack Engineer role focused on building AI-driven data curation, mining, and search applications to accelerate ML dataset generation and pipeline development. The position involves close collaboration with ML and data teams to design scalable web applications and backend services. The goal is to streamline development cycles and support advanced autonomous systems initiatives. 🗂️ Requirements: BS or MS in Computer Science or related field, 4+ years of professional experience building web applications, Extensive experience building web applications for search and data curation, Strong programming skills in Typescript, Strong programming skills in Python, Strong knowledge of React, Strong experience building REST services, Strong experience building gRPC services, Strong knowledge of AWS ecosystem (EKS, Lambda), Experience with Terraform 📃 Skills: Typescript, Python, React, REST, gRPC, AWS, EKS, Lambda, Terraform, Bazel 🏢 Description: Mission Summary: We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future. What You'll Be Doing: Cross-functional Collaboration: Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. Development: Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. Mentor junior engineers and peers on best practices and adoption strategies. What We're Looking For Experience: BS or MS in Computer Science or related field 4+ years of professional experience in building web applications Extensive experience with building web applications for search and data curation needs. Technical Skills: Strong programming skills in Typescript and Python. Strong knowledge of modern frontend technologies such as React. Strong knowledge of building REST and gRPC based services, ideally in Python. Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform. Bonus Points (not required): Prior experience in autonomous vehicles (AV) is a plus. Prior experience with Bazel based build systems. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Salary Range $149,000—$198,500 USD Candidates for certain positions are eligible to participate in the benefits program. Benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

🏢 Summary: Remote Senior Backend Engineer role focused on building and scaling cloud-native backend systems, microservices, APIs, and data pipelines using Java, Python, GCP, and AI/LLM integrations. The position emphasizes secure application development, cloud infrastructure optimization, and collaboration in a fast-paced engineering environment. 🗂️ Requirements: 5–8+ years of backend engineering experience, Professional experience with Java, Professional experience with Python, Expertise in Google Cloud Platform (GCP), Experience with cloud-native architectures, Experience building scalable data pipelines, Experience maintaining core backend systems, Familiarity with LLMs and AI/ML backend integrations, Experience with GitHub Copilot, Application security and vulnerability remediation experience, Strong communication skills, Strong written and verbal English proficiency, Current residency in Cincinnati, Ohio 📃 Skills: Java, Python, GCP, LLMs, AI, ML, GitHub, Copilot, Microservices, APIs, AppSec, Cloud 🏢 Description: Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth. Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong. Eligibility Notice This position is only open to candidates who are currently residing in Cincinnati, Ohio. Applications from candidates who do not meet this location requirement will not be considered. Description Nexaminds is looking for a Senior Backend Engineer to design, build, optimize, and scale high-performance backend systems and modern cloud applications. The ideal candidate has hands-on experience with Java, Python, Google Cloud Platform (GCP), and AI/LLM backend integrations, and enjoys working in a fast-paced, highly collaborative engineering environment. Requirements - 5–8+ years of professional backend engineering experience working with both Java and Python. - Deep expertise with Google Cloud Platform (GCP) and cloud-native architectures. - Hands-on experience building, maintaining, and optimizing scalable data pipelines and core backend systems. - Familiarity with Large Language Models (LLMs) and AI/ML backend integration patterns. - Experience utilizing AI-assisted development tools like GitHub Copilot to drive efficiency and clean code standards. - A strong mindset for Application Security (AppSec), with experience identifying and fixing codebase/dependency security vulnerabilities. - Excellent communication skills to collaborate effectively across cross-functional product, data, and infrastructure teams. - Strong written and verbal English proficiency. Job Duties - Design, build, and deploy highly scalable microservices, data pipelines, and APIs using Java, Python, and GCP. - Modernize and optimize core cloud infrastructure, ensuring high availability and seamless data flow. - Maximize development velocity and code quality by effectively leveraging GitHub Copilot within daily engineering workflows. - Proactively identify, prioritize, and remediate security vulnerabilities to ensure application safety and data protection. - Conduct thorough code reviews, championing high test coverage, clean code practices, and detailed technical documentation. Benefits - Stock options - Remote work options - Flexible working hours - Benefits above the law - Access to mentorship and opportunities for learning and growth

🏢 Summary: Full Stack Engineer role on an AI Data Application team focused on building next-generation data curation, mining, and search applications to accelerate ML dataset generation and pipeline development. The position involves close collaboration with ML researchers and data teams to deliver scalable web applications and backend services supporting autonomous vehicle initiatives. The role includes mentoring engineers and contributing to cloud-based infrastructure and service architecture. 🗂️ Requirements: BS or MS in Computer Science or related field, 4+ years of professional experience building web applications, Experience building web applications for search and data curation, Strong programming skills in Typescript, Strong programming skills in Python, Experience with React, Experience building REST services, Experience building gRPC services, Experience with AWS (EKS, Lambda), Experience with Terraform 📃 Skills: Typescript, Python, React, REST, gRPC, AWS, EKS, Lambda, Terraform, Bazel 🏢 Description: Mission Summary: We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future. What You'll Be Doing: Cross-functional Collaboration: - Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. - Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. Development: - Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. - Mentor junior engineers and peers on best practices and adoption strategies. What We're Looking For: Experience: - BS or MS in Computer Science or related field - 4+ years of professional experience in building web applications - Extensive experience with building web applications for search and data curation needs Technical Skills: - Strong programming skills in Typescript and Python - Strong knowledge of modern frontend technologies such as React - Strong knowledge of building REST and gRPC based services, ideally in Python - Strong knowledge of AWS ecosystem (EKS, Lambda, etc.) and Terraform Bonus Points (not required): - Prior experience in autonomous vehicles (AV) - Prior experience with Bazel based build systems We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. Candidates for certain positions are eligible to participate in the benefits program, which includes medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $149,000—$198,500 USD

🏢 Summary: Long-term, fully remote contract for a Databricks Data Engineer to design and implement large-scale data processing solutions for international clients across multiple industries. The role focuses on building and optimizing scalable data pipelines in cloud environments while ensuring data security, governance, and best practices. You will collaborate with Solution Architects and contribute to the maintenance and evolution of existing data platforms. 🗂️ Requirements: 5–6 years experience in data engineering, Hands-on experience with Databricks on large-scale datasets, Experience building and optimizing data pipelines in Python, Experience with cloud-based data processing tools, Knowledge of data security principles in cloud environments, Knowledge of Data Governance principles, Ability to collaborate with Solution Architects and follow best practices, English level B2 or higher 📃 Skills: Databricks, Python, Cloud, DataEngineering, DataGovernance, Security, ETL, SQL 🏢 Description: Be in IT to firma rekrutacyjna, wyspecjalizowana w poszukiwaniu Specjalistów z branży technologii informatycznych. Obecnie, dla naszego klienta, poszukujemy osoby na stanowisko Databricks Data Engineer . Zakres obowiązków: Długofalowa współpraca z międzynarodową, topową firmą consultingową, świadcząca usługi IT dla dużych i średnich firm z różnorodnych sektorów jak automotive, finanse, bankowość czy produkcja. Projektowanie i wdrażanie rozwiązań do przetwarzania danych przy użyciu Databricks dla wielkoskalowych i zróżnicowanych zbiorów danych. Tworzenie, rozwijanie i optymalizacja data pipeline'ów z wykorzystaniem Pythona oraz narzędzi chmurowych. Współpraca z Solution Architects w celu definiowania i stosowania best practices w obszarze inżynierii danych. Zapewnienie spójności, bezpieczeństwa i skalowalności danych w środowiskach chmurowych. Udział w utrzymaniu i dalszym rozwoju istniejących rozwiązań danych. Oczekujemy: Mile widziane 5–6 lat doświadczenia w obszarze inżynierii danych. Praktycznej znajomości platformy Databricks w pracy z dużymi i zróżnicowanymi zbiorami danych. Doświadczenia w tworzeniu i optymalizacji data pipeline'ów z wykorzystaniem Python. Znajomości narzędzi chmurowych stosowanych w przetwarzaniu danych. Umiejętności współpracy z architekturą rozwiązań i stosowania best practices w data engineering. Znajomości zasad bezpieczeństwa i Data Governance w środowiskach chmurowych. Znajomości języka angielskiego na poziomie B2 lub C1 – umożliwiającej swobodną komunikację w międzynarodowym środowisku. Mile widziana dostępność ASAP; akceptowalny jest maksymalnie miesięczny okres wypowiedzenia ze skutkiem na koniec miesiąca. Oferujemy: Długofalowa współpraca z wynagrodzeniem w przedziale 110-140 PLN netto/godz. + VAT. Wsparcie przy zakładaniu i prowadzeniu działalności gospodarczej, dla osób bez takiego doświadczenia. Sprawny proces rekrutacyjny - dwie rozmowy techniczne z managerami, online (każda maksymalnie po godzinie). Współpraca w pełni zdalna. Benefity - prywatna opieka medyczna, karta Multisport. Nowoczesny sprzęt zapewniany przez firmę, wraz z softem i konfiguracją.

🏢 Summary: B2B contract role for a Senior DevOps Engineer working on an AI initiative to build and operate a scalable, secure end-to-end AutoML platform. The position focuses on designing cloud infrastructure, automating CI/CD for model deployment, and ensuring reliable operation of distributed AI services. You will enable production-grade ML workflows with strong emphasis on scalability, security, and automation. 🗂️ Requirements: 5+ years DevOps or Cloud Engineering experience, Hands-on experience with Docker and Kubernetes, Experience with Terraform (Infrastructure as Code), Experience with CI/CD tools, Knowledge of AWS, Azure, or GCP, Experience with secure networking and identity management, Understanding of distributed systems and scalability, Experience with monitoring, logging, and alerting tools, English proficiency, Location in Poland or EU 📃 Skills: Docker, Kubernetes, Terraform, CI/CD, GitHub, GitLab, Jenkins, AWS, Azure, GCP, Networking, IAM, Monitoring, Logging, AutoML, MLOps 🏢 Description: Holisticon Insight is a data-focused technology and consulting company, part of the Nexer Group. Our mission is simple: We make companies Data Driven. We build data platforms and data-intensive systems that solve real business problems. We work end-to-end, from integrating data from multiple sources (including IoT and operational systems), through building scalable data pipelines and semantic layers, to delivering analytics and AI solutions used in production. Our projects often combine data engineering, cloud, and software development. We don’t just process data - we also build systems that generate it, such as IoT and digital platforms, which later become part of the data ecosystem. You’ll work on real use cases – optimizing processes, enabling better decisions, and building data products used by business teams. We focus on clean architecture, modern tech stacks, and ownership of what we build. At Holisticon Insight we value strong engineering skills, autonomy, and collaboration. We keep a flat structure, small teams, and a lot of responsibility on the engineer level. Check us out! 👉 https://holisticon.pl/holisticon-insight/ We offer a B2B Contract: 155 – 185 PLN net/hour + VAT We are looking for a Senior DevOps Engineer to join a cutting-edge AI initiative of our client. The project focuses on resolving data fragmentation and incompleteness by building an end-to-end AutoML pipeline that identifies missing data, trains predictive models, and automatically enriches datasets. As a DevOps Engineer, you will ensure the platform is scalable, secure, and fully automated , enabling reliable deployment and operation of AI services in a distributed computing environment. Your responsibilities: Design and manage cloud infrastructure for a distributed AI/ML platform Transition existing scripts into a scalable, production-ready environment Build and maintain CI/CD pipelines for model deployment Automate promotion of models from staging to production Ensure environment consistency and deployment reliability Containerize AI services to guarantee repeatable and consistent execution Optimize compute costs (e.g., spot instances for training workloads) Implement monitoring, logging, and alerting systems Set up alerts for performance degradation and system anomalies Collaborate closely with Data Engineers, ML Engineers, and Fullstack Developer You might be the perfect match if you possess the following competencies: 5+ years of prior experience in DevOps / Cloud Engineering Strong hands-on experience with: Docker & Kubernetes Terraform (Infrastructure as Code) CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or similar) Deep knowledge of at least one cloud platform: AWS, Azure, or GCP Experience with secure networking, identity management, and cloud architecture Solid understanding of distributed systems and scalability challenges Experience with monitoring, logging, and alerting tools Strong problem-solving skills and ownership mindset Excellent English communication skills Location in Poland or EU 🙌 Nice to have: Experience with MLOps workflows and model lifecycle management Familiarity with AutoML pipelines or AI platforms By joining Holisticon Insight you will get: Life insurance Multisport card Fully remote job Private medical care Flexible working hours B2B or contract of employment Amazing integration events on a regular basis Training budget (e.g. Microsoft Azure Certifications) Opportunity to impact our company culture build-up Work equipment (laptop, 2 monitors, and accessories)