onsite
Machine Learning Engineer - SF Partners
ML Engineer
Develop and deploy generative AI and advanced machine learning models using Python and deep‑learning frameworks, while integrating them with cloud services and database solutions.
About the role
Key Responsibilities
- Design, implement, and optimize generative AI and machine‑learning models using frameworks such as PyTorch, TensorFlow, and Keras.
- Develop production‑grade pipelines in Python, integrating with Node.js services where needed.
- Deploy and scale models on AWS, leveraging services like SageMaker, Lambda, and container orchestration.
- Work with relational and NoSQL databases (PostgreSQL, MongoDB, CosmosDB) to store training data and serve model predictions.
- Collaborate with cross‑functional teams to translate business requirements into robust AI solutions.
Requirements
- Strong software or data‑engineering background with solid Python programming skills.
- Hands‑on experience with deep‑learning libraries (PyTorch, TensorFlow, Keras) and a passion for generative AI.
- Proficiency in cloud platforms, preferably AWS, and familiarity with containerized deployments.
- Experience working with PostgreSQL and at least one NoSQL database (MongoDB or CosmosDB).
- Ability to write clean, maintainable code in JavaScript/TypeScript or Node.js for supporting services.
Skills
pythonpytorchtensorflowawspostgresqlnodejs