Responsibilities of the Candidate:

• Build technology stack for AI/ML use cases from concept to production deployment.
• Build data pipelines and ingestion of structured & structured data for model training.
• Create Generative AI pipelines & technology stack e.g., orchestration, prompt engineering, fine-tuning, etc.
• Deploy AI/ML models into production and build an API layer for application integration.

Requirements:

• Very high proficiency in Python programming language, and knowledge of other languages such as R, and Java would be a plus.
• Knowledge of various AI/ML models including deep learning models.
• Knowledge of Generative AI stack - Large Language Models / Foundation Models, vector databases, orchestration stack.
• Hand-on experience in building AI orchestration with frameworks like LangChain.
• Knowledge of vector databases e.g., Pinecone, Chroma, etc.
• Deep understanding of data processing frameworks e.g., Data Bricks, Airflow, etc.
• Knowledge of API frameworks Django, Flask, etc.
• Understanding of cloud data & AI stack on AWS / Azure / GCP is preferred.