Description

You will own the end-to-end development and productionization of AI/ML models, focusing on Generative AI and Agentic workflows.

Responsibilities

• Develop and implement AI/ML algorithms and production-grade ML pipelines using Python and TensorFlow.
• Build and maintain FastAPI services for model inference and orchestration.
• Deploy and manage ML solutions on AWS, leveraging SageMaker and MLOps tools like MLFlow and Kubeflow.
• Implement CI/CD pipelines and manage version control to ensure robust model lifecycle management.
• Collaborate with cross-functional teams to integrate AI solutions and drive architectural evolution.

Required Skills

• 5+ years of experience in AI/ML model development and production deployment.
• Strong proficiency in Python, TensorFlow, and FastAPI.
• Hands-on experience with Generative AI and Agentic AI frameworks.
• Experience with cloud platforms, specifically AWS (SageMaker, S3, EC2).
• Familiarity with MLOps tools: MLFlow, Kubeflow, and model versioning.
• Knowledge of CI/CD practices and Git version control.
• Understanding of statistical modeling and data analytics on unstructured data.

Preferred Skills

• Experience with OpenAI APIs and large language model integration.
• Background in multi-functional team collaboration across geographies.

Key Skills

Education

Any Graduate