Requisites
Experience in Machine Learning model development, training, evaluation, and deployment( ML lifecycle)
Solid 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.
Robust 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.

📌 Machine Learning Engineer Bengaluru (India)
🏢 TEKsystems Global Services in India
📍 India