Description

You will own the development and deployment of Machine Learning and Generative AI solutions for enterprise applications.

This role is on-site.

Responsibilities

• Build end-to-end ML pipelines covering data ingestion, preprocessing, model training, evaluation, and deployment.
• Develop LLM-powered applications using frameworks like OpenAI, LangChain, Hugging Face, or LlamaIndex.
• Design and manage data pipelines utilizing SQL, Pandas, Databricks, Data Lakes, and NoSQL databases.
• Implement MLOps workflows including model versioning, CI/CD pipelines, and containerization.
• Build REST APIs or backend services using Flask or FastAPI to integrate AI models into applications.

Required Skills

• 5+ years of experience with strong expertise in Python and Machine Learning frameworks.
• Experience with data engineering pipelines and cloud-based ML deployments (AWS SageMaker, Azure ML, or GCP AI Platform).
• Knowledge of MLOps practices including Git, Docker, and CI/CD pipelines.
• Experience with Generative AI and LLM-based applications.
• Proficiency in Python, Pandas, SQL, Git, Docker, Machine Learning, CI/CD, MLOps, and Data Lakes.
• Working knowledge of backend development for AI services.

Preferred Skills

• Experience with NoSQL databases.

Key Skills

Education

Any Gradute