Machine Learning Engineer

Requisites

• Experience in Machine Learning model development, training, evaluation, and deployment( ML lifecycle)
• Strong proficiency in Python and SQL.
• Knowledge of LLMs and Generative AI,
• Experience developing AI-powered applications and integrating LLMs with enterprise data platforms.
• understanding of Containerize models (Docker/Kubernetes) for scalable deployment.
• Experience in building chatbots, AI assistants, Agentic AI, MCP, GenAI-based enterprise solutions.
• Knowledge of data engineering concepts
• Experience with Git and version control best practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to document technical designs, solution architectures, development processes, and best practices.

Nice to have Skills:

• Exposure to MLOps practices (CI/CD for ML, monitoring, logging).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Exposure to Snowflake Cortex, Snowflake ML, or AI/ML capabilities within Snowflake.