ML Engineer

5 days ago

Bucharest, Bucureşti, Romania INTELSOL Full time 40,000 - 80,000 per year

Client: IT Services Center

Office Location: Bucharest

Contract Duration: At least 12 months

Project No.:

General

We are looking for Machine Learning Engineers to join our client Data & AI team and contribute to the design, development, and deployment of scalable ML solutions across the organization.

Responsibilities/Activities
  • Research, develop, and enhance machine learning models aligned with business objectives
  • Analyze large structured and unstructured datasets to identify patterns, test hypotheses, and support model development through strong analytical work
  • Ensure models are production-ready by writing clean, maintainable training and inference code, with proper monitoring, validation checks, and robust error-handling
  • Collaborate with cross-functional teams to understand requirements, design ML solutions, and validate the impact of deployed models
  • Build and maintain data pipelines and model deployment workflows
  • Optimize and improve the performance and scalability of ML models running in cloud environments
  • Monitor and maintain ML models in production to ensure reliability and optimal performance
  • Contribute to improving ML infrastructure, automation, and end-to-end model lifecycle practices
Requirements
Technical
  • At least 4 years of previous experience in a similar role
  • Solid experience with modern ML frameworks: TensorFlow, PyTorch
  • Working experience with ML experiment tracking tools: MLflow, W&B, DVC
  • Proven experience in building, training, and deploying ML models (batch or real-time)
  • Solid ability to write clean, well-structured, and testable Python code
  • Experience with relational databases and distributed data systems
  • Good knowledge of Big Data tools (e.g. Spark, Dask) and distributed data processing
  • Familiarity with cloud platforms, containerization, and orchestration tools
  • Solid understanding of supervised, unsupervised, and deep learning techniques
  • Good understanding of Agile/Scrum methodologies
Education
  • University degree in Computer Science, Data Science, or another related field
Others
  • Good level of English (oral and written)
  • Strong analytical and problem-solving skills
  • Ability to learn quickly and adapt to new technologies
  • Comfortable working under tight deadlines
Nice to have requirements
  • Experience with infrastructure-as-code (Terraform, CloudFormation)
  • Experience with end-to-end MLOps practices

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