Machine Learning Engineer – General ML & Generative AI (B2B)

🏢 Summary: The role focuses on designing, implementing, and operating enterprise-grade Machine Learning and Generative AI solutions, with responsibility for end-to-end pipelines and production stability. The engineer works hands-on with classical ML and LLM-based systems, ensuring robust integration into existing enterprise environments. The position emphasizes technical ownership of ML & GenAI use cases in close collaboration with internal teams. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Practical experience delivering Generative AI solutions, Strong understanding of LLM architectures and limitations, Strong Python engineering skills with clean code practices, Hands-on experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML and GenAI platforms in cloud environments (Databricks, AWS, Azure or GCP), Fluent English and Polish, Availability for hybrid work (1–2 office visits per week) 📃 Skills: Python, MachineLearning, GenerativeAI, LLM, Git, CICD, Databricks, AWS, Azure, GCP, APIs 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The offer is for a Machine Learning Engineer responsible for designing, implementing, and operating enterprise-grade Machine Learning and Generative AI solutions. The role focuses on building end-to-end ML and GenAI pipelines, integrating LLM-based solutions, and ensuring production robustness and performance. You will concentrate on technical delivery and system integration within cloud-based environments. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Practical experience delivering Generative AI solutions, Strong understanding of LLM architectures and limitations, Strong Python engineering skills, Experience with Git-based version control, Experience working with CI/CD pipelines, Hands-on experience with ML and GenAI platforms, Experience with cloud environments (AWS, Azure, GCP or Databricks), Experience building and operating production-grade ML systems 📃 Skills: Python, MachineLearning, GenerativeAI, LLM, Git, CICD, Databricks, AWS, Azure, GCP, APIs, MLOps 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Machine Learning Engineer role focused on designing, deploying, and operating enterprise-grade classical ML and Generative AI solutions. The position involves building end-to-end ML pipelines, integrating LLM-based applications, and ensuring production stability in cloud-based environments. The role includes hybrid work, ongoing training opportunities, and a flexible benefits platform. 🗂️ Requirements: Degree in Computer Science, Data Science, Mathematics or related field, Experience delivering Generative AI solutions, Knowledge of LLM architectures and limitations, Strong Python engineering skills, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML and GenAI platforms, Experience with cloud environments, Fluent English, Fluent Polish, Availability for hybrid work with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, LLM, GenAI, MachineLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Machine Learning Engineer role focused on designing, deploying, and operating production-grade classical ML and deep-learning solutions. The position emphasizes end-to-end pipelines, reproducible workflows, and technical collaboration, with stakeholder coordination handled by an internal counterpart. 🗂️ Requirements: Degree in Computer Science, Data Science, Mathematics, or related field, Experience building and operating production-grade ML pipelines, Strong Python engineering and clean-code practices, Git-based version-control experience, CI/CD pipeline experience, Experience with production ML platforms or cloud ML environments, Fluent English and Polish, Hybrid availability with 1–2 office visits per week 📃 Skills: Python, Git, CICD, Databricks, AWS, Azure, GCP, ML, MLOps 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The role focuses on designing, building, and operating production-grade machine learning solutions using classical ML and deep learning models. You will develop end-to-end ML pipelines, ensure robustness and reproducibility in production, and collaborate on technical solution design. The position emphasizes strong Python engineering and experience with cloud-based ML platforms. 🗂️ Requirements: Degree in ComputerScience, DataScience, Mathematics or related field, Experience building production-grade machine learning pipelines, Strong Python engineering skills, Experience with Git-based version control, Experience working with CI and CD pipelines, Experience with cloud-based ML platforms, Ability to design, train and optimize ML and deep learning models, Experience ensuring robustness and reproducibility in production environments 📃 Skills: Python, MachineLearning, DeepLearning, Pipelines, FeatureEngineering, Deployment, Monitoring, Git, CI, CD, Databricks, AWS, Azure, GCP, Cloud, VersionControl 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Machine Learning Engineer role focused on designing, deploying, and operating production-grade classical ML and deep-learning solutions. The position emphasizes end-to-end pipelines, reproducible workflows, and technical collaboration, with hybrid work requiring 1–2 office visits per week. 🗂️ Requirements: Degree in Computer Science, Data Science, Mathematics, or related field, Experience building and operating production-grade ML pipelines, Strong Python engineering and clean-code practices, Git-based version control experience, CI/CD pipeline experience, Experience with ML platforms or cloud ML environments, Fluent English and Polish, Availability for hybrid work with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The role focuses on designing, building, and operating production-grade machine learning solutions using classical and deep learning models. You will develop end-to-end ML pipelines, ensure robust and reproducible deployments, and collaborate on technical solution design in a production environment. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Experience building and operating production-grade machine learning pipelines, Strong Python engineering skills with clean code practices, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML platforms and cloud-based ML environments, Fluent English, Fluent Polish, Availability to work in hybrid mode with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, MachineLearning, DeepLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Senior GenAI Engineer role focused on designing and implementing enterprise-grade AI solutions based on LLMs, Agentic AI, and Generative AI. The position involves building end-to-end AI architectures, developing AI/ML pipelines, and integrating intelligent systems with cloud and business platforms. The role also covers MLOps practices and advanced NLP-based solutions including RAG architectures. 🗂️ Requirements: Minimum 3 years experience in Data Science / Machine Learning / Artificial Intelligence, Commercial experience with Generative AI, LLMs or Agentic AI, Very good knowledge of Python, Experience with TensorFlow or PyTorch, Experience with Pandas and Scikit-Learn, Experience with at least one agent framework: LangChain, LangGraph, AutoGen or Semantic Kernel, Knowledge of NLP: tokenization, embeddings, semantic search, RAG architectures, Experience with Azure, AWS or GCP, Knowledge of SDLC 📃 Skills: Python, LLMs, GenerativeAI, AgenticAI, TensorFlow, PyTorch, Pandas, ScikitLearn, LangChain, LangGraph, AutoGen, SemanticKernel, NLP, Tokenization, Embeddings, SemanticSearch, RAG, Azure, AWS, GCP, MLOps, CICD, SDLC 🏢 Description: Poszukujemy doświadczonego Senior GenAI Engineera, który będzie odpowiedzialny za projektowanie i wdrażanie nowoczesnych rozwiązań opartych o LLMs, Agentic AI oraz architektury AI enterprise-grade. Zakres obowiązków Projektowanie i rozwój rozwiązań opartych o: Generative AI / Large Language Models (LLMs) / Agentic AI NLP / intelligent automation oraz AI copilots Tworzenie i wdrażanie architektur AI end-to-end Budowa rozwiązań z wykorzystaniem: LangChain / LangGraph / AutoGen / Semantic Kernel oraz innych frameworków agentowych Implementacja i optymalizacja pipeline’ów AI/ML Rozwój praktyk MLOps: CI/CD / monitoring modeli / deployment / observability Integracja modeli AI z rozwiązaniami biznesowymi i platformami cloud Współpraca z zespołami developerskimi, DevOps oraz biznesowymi Rozwijanie nowych podejść i innowacyjnych rozwiązań AI dla klientów enterprise Wymagania Min. 3 lata doświadczenia w obszarze: Data Science / Machine Learning / Artificial Intelligence Doświadczenie komercyjne w obszarze: Generative AI / LLMs / Agentic AI Bardzo dobra znajomość Python Znajomość frameworków: TensorFlow / PyTorch / Pandas / Scikit-Learn Doświadczenie z przynajmniej jednym frameworkiem: LangChain / LangGraph AutoGen / Semantic Kernel lub podobnym Znajomość NLP: tokenization / embeddings / semantic search / RAG architectures Doświadczenie z Azure, AWS lub GCP Znajomość SDLC Bardzo dobra znajomość języka angielskiego Nice to have Doświadczenie w sektorze automotive i/lub financial services Znajomość: Docker / Kubernetes / Git / Azure DevOps Doświadczenie w MLOps i monitoringu modeli AI Znajomość Trusted / Responsible AI Język niemiecki lub francuski

🏢 Summary: Staff Machine Learning Engineer role focused on leading Generative AI initiatives for manufacturing applications, including multimodal document understanding, structured data extraction, and AI systems combining text, images, and 3D data. The position involves developing and deploying large-scale AI models, shaping technical strategy, and mentoring engineering teams in a cloud-based production environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Machine Learning, AI, or related field, 5+ years of machine learning or data science experience, Expertise in generative models, LLMs, or computer vision, Experience with large-scale language and vision models, Hands-on experience with multimodal data, Proficiency in Python, Experience with PyTorch or TensorFlow, Knowledge of probability, statistics, and optimization, Experience deploying ML models with cloud microservice architecture, Strong software engineering skills, Experience with CI/CD and version control, U.S. Citizen or Green Card holder 📃 Skills: Python, PyTorch, TensorFlow, pandas, NumPy, Transformers, GPT, VLMs, AWS, Terraform, CI/CD, OOP 🏢 Description: Xometry is seeking a Staff Machine Learning Engineer to lead Generative AI efforts focused on real-world manufacturing challenges, including multimodal document understanding, structured data extraction from technical drawings, and reasoning across text, images, and 3D data. Quick Facts - Lead the technical direction for the Generative AI team - Shape the AI roadmap and identify high-value AI opportunities - Develop and deploy large language and generative models - Build multimodal AI systems using text, images, and 3D data - Create scalable data pipelines and training workflows - Deploy models into production using AWS and cloud platforms - Collaborate with engineering, product, and business teams - Mentor teammates on advanced ML methods and best practices - Stay current with generative AI and deep learning research Requirements - Bachelor's degree required; advanced degree in Computer Science, Machine Learning, AI, or related field is a plus - 5+ years of experience in machine learning or data science - Deep expertise in generative models, LLMs, or computer vision - Experience with large-scale language and vision models including Transformers, GPT, and VLMs - Hands-on experience with multimodal data including text, images, and 3D - Proficiency in Python and ML libraries including PyTorch, TensorFlow, pandas, and NumPy - Strong knowledge of probability, statistics, and optimization - Experience deploying ML and AI models using cloud microservice architecture, preferably AWS - Strong software engineering skills including object oriented programming, testing, version control, CI/CD, and IaC with Terraform preferred - Strong communication skills across technical and business stakeholders - U.S. Citizen or Green Card holder required for ITAR compliance Benefits - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off - Vacation, sick leave, floating and fixed holidays - Maternity and bonding leave - Employee assistance program and wellbeing resources Xometry is an equal opportunity employer. For U.S.-based roles, the company participates in E-Verify and will use Form I-9 information to confirm work authorization after acceptance of a job offer.

🏢 Summary: Oferta dla samodzielnego inżyniera AI/ML odpowiedzialnego za projektowanie, wdrażanie i utrzymanie produkcyjnych rozwiązań AI, ML i GenAI w skali przedsiębiorstwa. Rola obejmuje tworzenie aplikacji RAG, agentów i chatbotów, budowę architektury danych oraz chmury, a także MLOps/LLMOps, bezpieczeństwo i zgodność. 🗂️ Requirements: Minimum 7 lat doświadczenia w inżynierii oprogramowania, Minimum 3 lata dostarczania produkcyjnych rozwiązań AI/ML, Doświadczenie w budowie i utrzymaniu end-to-end systemów AI, Doświadczenie z chatbotami, asystentami AI lub systemami agentowymi, Ekspercka znajomość Python, Znajomość architektury oprogramowania, testów automatycznych, API i mikrousług, Doświadczenie ze środowiskami chmurowymi, Praktyczne doświadczenie z Docker, Kubernetes i CI/CD, Doświadczenie z AWS, Azure lub GCP, Bardzo dobra znajomość LLM i aplikacji GenAI, Doświadczenie w projektowaniu RAG i systemów agentowych, Znajomość klasycznych technik ML oraz frameworków ML, Doświadczenie w MLOps, monitoringu, ewaluacji i optymalizacji modeli, Praktyczna wiedza z AI Security, AI Governance i skalowalnych platform AI 📃 Skills: Python, Docker, Kubernetes, CI/CD, AWS, Azure, GCP, GPT, Claude, Gemini, Llama, Mistral, LangChain, LangGraph, ADK, PyTorch, TensorFlow, Scikit-learn, MLOps, LLMOps, RAG, NL2SQL 🏢 Description: Szukamy wysoce autonomicznego inżyniera AI/ML , który będzie w stanie samodzielnie projektować, budować, wdrażać, monitorować, zabezpieczać, zarządzać i optymalizować nowoczesne kompleksowe rozwiązania AI/ML i GenAI w całym stosie technologicznym (w tym uczenie maszynowe, LLM, RAG, agentowa AI, chatboty i operacje produkcyjne na skalę przedsiębiorstwa), w tym prognozowanie KRI, wykrywanie anomalii, NL2SQL i wiele innych. Twoje zadania Współpraca z interesariuszami biznesowymi i przekładanie wymagań biznesowych na bezpieczne, skalowalne i zgodne z przepisami rozwiązania AI, zachowując pełną kontrolę nad architekturą, rozwojem, automatycznym wdrażaniem i bieżącym wsparciem operacyjnym po produkcji. Projektowanie, budowanie i dostarczanie rozwiązań AI/ML klasy produkcyjnej od koncepcji do wdrożenia. ​​Tworzenie asystentów AI, chatbotów, przepływów pracy opartych na agentach i aplikacji opartych na RAG. Projektowanie skalowalnych architektur danych, AI i chmury. Tworzenie interfejsów API, usług front-end i back-end oraz integracji korporacyjnych. Wdrażanie MLOps/LLMOps, monitoringu, ewaluacji i zabezpieczeń. Zapewnienie zgodności rozwiązań AI z wymogami bezpieczeństwa, zarządzania i zgodności. Wymagania Min. 7 lat doświadczenia w software engineering , w tym 3+ lata w dostarczaniu produkcyjnych rozwiązań AI/ML . Doświadczenie w realizacji i utrzymaniu end-to-end systemów AI, w tym chatbotów, asystentów AI lub rozwiązań agentowych. Ekspercka znajomość Python , architektury oprogramowania, testów automatycznych, API, mikrousług oraz środowisk chmurowych. Praktyczne doświadczenie z Docker, Kubernetes, CI/CD oraz platformami AWS, Azure lub GCP . Bardzo dobra znajomość nowoczesnych LLM (np. GPT, Claude, Gemini, Llama, Mistral) oraz budowy aplikacji opartych o GenAI. Doświadczenie w projektowaniu rozwiązań RAG oraz systemów agentowych z wykorzystaniem frameworków takich jak LangChain, LangGraph, Google ADK . Znajomość klasycznych technik ML oraz frameworków PyTorch, TensorFlow, Scikit-learn . Doświadczenie w obszarze MLOps , monitoringu, ewaluacji i optymalizacji modeli AI. Praktyczna wiedza z zakresu AI Security, AI Governance oraz tworzenia skalowalnych platform AI dla przedsiębiorstw.