ML Engineer – Python / TensorFlow / PyTorch - Onsite Prague
DCV Technologies
Contact person: Marcillina Tietjen
Prague, Czech Republic
ITArtificial IntelligenceAmazon Web ServicesBusiness RequirementsContinuous IntegrationExtract Transform Load (ETL)Engineering EducationPython (Programming Language)Machine LearningPhysicsTensorFlowWorkflowsLifecycle ManagementFeature EngineeringPyTorchApache SparkAWS LambdaScikit LearnMachine Learning Operations
Description
Dear Consultant,
We are looking for experienced Machine Learning Engineers to support the development and deployment of ML and AI models in a production environment. Send CV to ***@***.co.uk
Prague, Czech Republic – Onsite
Contract: 6–12 months
Positions: 4
Key Responsibilities
Develop and optimize ML models for classification, regression and clustering tasks
Build and maintain scalable ML pipelines for training, validation and inference
Deploy ML models to production environments (cloud or on-prem)
Implement MLOps practices including CI/CD, monitoring and model lifecycle management
Work with data teams on data preparation, feature engineering and ETL pipelines
Collaborate with cross-functional teams to translate business requirements into ML solutions
Required Skills
Strong Python programming
Experience with TensorFlow, PyTorch or Scikit-learn
Experience with LangChain or LangGraph
Experience building ML pipelines and data workflows (Spark, AWS Lambda, Glue)
Experience working with AWS cloud environments
Experience deploying ML models into production
Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
Experience
3+ years experience in ML / AI engineering
Education
Master’s degree in Computer Science, Machine Learning, Physics or related field
Send CV to: ***@***.co.uk