Responsibilities
- Own the full model lifecycle: problem scoping, data exploration, feature engineering, algorithm selection, training, evaluation, and iterative improvement
- Containerise and serve models via FastAPI based microservices; ensure low latency inference, monitoring, and automated rollback strategies
- Build reproducible pipelines (training, validation, inference) with CI/CD and infrastructure as code practices
- Work closely with data engineers, product managers, and domain experts to align ML solutions with business goals
- Champion clean code, unit/integration testing, code reviews, and documentation for long-term maintainability
- Stay up to date with the latest ML/AI advancements; prototype and benchmark new techniques (e.g., LLM fine-tuning, vector search, on-device ML). Diagnose and resolve production issues, optimise performance, and continually improve model robustness
Basic qualifications
- Bachelor’s in CS, Data Science, AI, or equivalent; proven ML/DL production experience.
- Expert in Python (NumPy, pandas, scikit-learn) and SQL; hands-on with PyTorch or TensorFlow; familiarity with Hugging Face.
- Prompt engineering, RAG, vector search, and model monitoring; fine-tuning is an advantage; strong feature engineering and classical ML.
- Docker, AWS (ECS/Fargate, S3, Lambda, SageMaker); CI/CD (Jenkins); MLflow or Metaflow; Prefect or Step Functions; MySQL and DynamoDB.
- Strong problem-solving skills and data driven decision-making
- Vigilant about data quality, edge cases, and performance bottlenecks
- Open, constructive collaboration with cross functional teams; mentorship of junior engineers when required
- Clear articulation of complex technical concepts to technical and nontechnical stakeholders Very good command of English, written and spoken
Benefits
- Interesting and fulfilling projects
- Great working environment in an international company
- Open and friendly working atmosphere
- Work-life balance
- Hybrid working model of 2 days in the office and 3 days from home
- 4 weeks a year you can work from any location that you choose.
Tags & focus areas
Used for matching and alerts on DevFound Machine Learning Data Science Pytorch Tensorflow Ai