Ai Ml Engineer

Roles & Responsibilities:

• Design, develop, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn.
• Implement model serving and APIs using Python and FastAPI.
• Build, manage, and utilize ML pipelines on GCP, including Vertex AI, BigQuery ML, and Feature Store.
• Monitor ML model performance, detect drift, and implement retraining workflows.
• Work on AI/ML projects involving GenAI tools and frameworks.
• Ensure best practices in ML model development, deployment, and monitoring.
• Maintain documentation and reproducibility of ML experiments and models.

Preferred Candidate Profile:

• Strong hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Proficient with GCP ML services like Vertex AI, BigQuery ML, and Feature Store.
• Experience in building ML APIs using FastAPI.
• Knowledge of model monitoring, performance tracking, and retraining workflows.
• Exposure to GenAI models and frameworks.
• GCP ML Engineer certification or GenAI coursework is a plus.