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.

- 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)
🏢 TEKsystems Global Services in India
📍 Bengaluru