onsite
AI/ML Engineer - SINGH AMIT AND ASSOCIATES
ML Engineer
AI/ML Engineer responsible for designing, building, and deploying end‑to‑end machine learning solutions using Python, covering supervised, unsupervised, and reinforcement learning, with a focus on data preparation, feature engineering, and lightweight web deployment.
About the role
Key Responsibilities
- Design, develop, and implement machine learning models across supervised, unsupervised, and reinforcement learning domains.
- Perform end‑to‑end data cleaning, preprocessing, and feature engineering to prepare datasets for modeling.
- Build, train, and fine‑tune models using Python‑based libraries and frameworks.
- Deploy models into production using lightweight web frameworks, ensuring scalability and maintainability.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
Requirements
- Proven experience with Python and machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Strong background in data cleaning, feature engineering, and model evaluation.
- Hands‑on experience deploying models with lightweight web frameworks (e.g., Flask, FastAPI).
- Knowledge of reinforcement learning concepts and practical implementation.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonmachine learningreinforcement learning