Senior Machine Learning Engineer
6 days ago
Description
Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration Partner with Data Scientists and Engineers to bring AI solutions and Laboratories to production Supervise, review and validate pull requests, deployment, and development flows in the AI team Drive continuous improvements in MLOps processes and tools Sponsor the creation of new software and ML standards in the AI team Ensure the quality of your own and your teams' developments Interact with other functions and agree on data exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …) Ensure adherence to best practices in ML model governance and compliance Keep up to date with the latest trends in AI and MLE
Requirements
>4 years' experience in a Machine Learning Engineer or Data Scientist role >4 years' experience with production-level Python code, strong programming skills. Bonus: having contributed to AutoML libraries, SaaS AI products. >3 years' experience in machine-learning methodologies (Machine Learning and Deep Learning) Familiarity with cloud-based infrastructure and services (AWS preferred) Experience with containerization and orchestration technologies such as Docker and Kubernetes Experience with version control and CI/CD systems (GitHub Actions preferred) Versed in the industry-standard MLE stack: MLflow, Airflow, DBT, REST APIs Experience communicating technically, at a level appropriate for the audience Ability to work in a fast-paced environment and learn quickly Enthusiasm for the latest advances in Generative AI (Bonus) Cloud certifications (preferably AWS) (Bonus) Background in product or AI SaaS companies (Bonus) Experience with GenAI stack: OpenAI, Claude, Langfuse, GenAI APIs, Langchain, PyTorch (Bonus) Proven track record of applying LLMs to improve their personal productivity Professional English a must
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