Job Description

Key Responsibilities:

Design & Development:

Lead the design, development, and implementation of end-to-end AI/ML systems and pipelines, from data ingestion to model deployment and monitoring.

Develop and optimize algorithms and models, with a strong emphasis on Generative AI models (LLMs, Diffusion Models, etc.), fine-tuning, and prompt engineering.

Write clean, maintainable, and efficient code in Python and other relevant languages.

MLOps & Deployment:

Implement robust MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD) of ML models, monitoring, and retraining.

Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.

Manage and optimize cloud infrastructure (e.g., AWS, Azure, GCP) for AI/ML workloads.

Research & Innovation:

Stay abreast of the latest advancements in AI/ML, particularly in Generative AI, large language model...

Ready to Apply?

Take the next step in your AI career. Submit your application to Zensar Technologies today.

Submit Application