MLOps Engineer: Build Scalable AI Pipelines & Platform w Warszawa, Polska
DCG Poland
Poland, Warszawa
MLOps Engineer: Build Scalable AI Pipelines & Platform w Warszawa, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
DCG Poland is seeking an experienced ML Platform Engineer in Warsaw to design CI/CD templates for model development and collaborate with ML engineers and actuaries to optimize training pipelines. The role focuses on monitoring, reliability, and scalable AI platform operations.
You will work with Langchain/smolagents to build agentic workflows, deploy on cloud platforms, containerize services with Docker/Kubernetes, and expose models via Flask or FastAPI. Strong English communication required.
Capgemini Poland seeks a data platform engineer to design and build scalable cloud-based data platforms. You will architect data pipelines, integrate diverse data sources, and collaborate with data scientists to operationalize ML models. Role requires hands-on cloud experience (AWS/Azure/GCP), strong SQL and programming ...
A leading global consulting firm seeks an experienced Google Data Engineer in Wrocław. In this role, you will design, build, and maintain scalable data platforms on Google Cloud, working closely with analytics teams to ensure data quality and performance. The company offers a hybrid working model, access to extensive training ...
... Generative AI Strong Python skills; experience with Hugging Face Transformers, LangChain, and LangGraph Solid knowledge of LLM fine-tuning, RLHF, and prompt engineering Hands-on experience with Google Cloud Platform (especially Vertex AI) and cloud-native deployments Understanding of MLOps / LLMOps (CI/CD, pipelines, monitoring) ...
... and scalable engineering. Main responsibilities: Design, develop, and deploy Agentic AI solutions using platforms such as Azure OpenAI Services, Google Vertex AI, Amazon Bedrock, or similar. Build and orchestrate AI agents and multi-agent workflows, leveraging modern agentic frameworks (e.g., LangChain, LangGraph, Semantic ...
... cloud data into clean, scalable pipelines that directly power AI and analytics? Great then please read on as we have a role for you! Our client is an innovative AI and data solutions consultancy and we are seeking a motivated Data Engineer to join their growing team. In this role, you will design, develop, and maintain modern ...
... Vault, Networking). Building and maintaining CI/CD pipelines with GitHub Actions to support continuous, reliable delivery. Integrating and developing Agentic AI solutions within backend systems. Collaborating closely with engineers, product owners, and stakeholders across disciplines - translating complex requirements ...
... MLOps Engineer to join the Data team. You will optimize ML services, advise on best practices, and build tooling that drives reliable ML workflows. You will lead MLOps initiatives during platform implementation and collaborate with Data Scientists to deploy models. Key responsibilities include building automation pipelines, ...
... on AUTOSAR and Non-AUTOSAR specifications, ARXML schemas, EMF metamodels, and domain-specific knowledge Implement AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex, and MCP Design and optimize ML models, embeddings, and AI evaluation processes Implement MLOps pipelines covering training, validation, ...
DCG seeks an experienced ML Engineer to manage the lifecycle of ML models from development to deployment and monitoring. You will implement MLOps, work with Spark and Python for data ingestion, and build distributed pipelines for massive datasets. The role involves collaboration with data scientists, DevOps, and IT to deliver ...
EPAM Systems in Poland is seeking a Senior Python Engineer with cloud expertise for a strategic project. You will build scalable, secure Python-based solutions and work across AI/ML, data pipelines, and automation in a hybrid setup. You will collaborate with cross-functional teams, design cloud architectures on AWS/Azure/GCP, ...
... Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, develop data products at scale and maintain existing applications. ...
... classification workflows. This is an opportunity to lead technical initiatives, mentor engineers, and shape the next generation of AI-driven solutions for enterprise platforms. Responsibilities Design and deploy production-grade Retrieval-Augmented Generation (RAG) systems using LangChain or LangGraph and vector databases Build and ...
... classification workflows. This is an opportunity to lead technical initiatives, mentor engineers, and shape the next generation of AI-driven solutions for enterprise platforms. Responsibilities Design and deploy production-grade Retrieval-Augmented Generation (RAG) systems using LangChain or LangGraph and vector databases Build and ...
... classification workflows. This is an opportunity to lead technical initiatives, mentor engineers, and shape the next generation of AI-driven solutions for enterprise platforms. Responsibilities Design and deploy production-grade Retrieval-Augmented Generation (RAG) systems using LangChain or LangGraph and vector databases Build and ...
... classification workflows. This is an opportunity to lead technical initiatives, mentor engineers, and shape the next generation of AI-driven solutions for enterprise platforms. Responsibilities Design and deploy production-grade Retrieval-Augmented Generation (RAG) systems using LangChain or LangGraph and vector databases Build and ...
... applications—especially complex, multi-agent systems—are scalable, reliable, and efficient across major cloud platforms. If you are passionate about operationalizing large-scale AI systems and want to make a significant impact, this is the role for you. Responsibilities Build and Manage CI/CD Pipelines: Design, implement, and maintain robust, ...
... applications—especially complex, multi-agent systems—are scalable, reliable, and efficient across major cloud platforms. If you are passionate about operationalizing large-scale AI systems and want to make a significant impact, this is the role for you. Responsibilities Build and Manage CI/CD Pipelines: Design, implement, and maintain robust, ...
... data architectures to deliver secure, scalable, and highly available data solutions supporting Gen AI and ML applications. Responsibilities Design, build, and maintain large-scale data pipelines and distributed processing systems using SparkDevelop and support data platforms that enable AI/ML and Generative AI applicationsArchitect ...
... transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.