Description

You will build and deploy machine learning systems by integrating LLMs into production environments.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Python.
• Collaborate with AI/ML teams to support model training, evaluation, and deployment workflows.
• Develop and optimize data schemas, storage solutions, and APIs for structured and unstructured data.
• Integrate and fine-tune LLMs (e.g., OpenAI, Hugging Face Transformers) for various business use cases.
• Monitor and troubleshoot data workflows and model performance in production.

Required Skills

• 5+ years of experience in data engineering or backend development.
• Strong proficiency in Python and libraries such as Pandas, NumPy, PySpark.
• Hands-on experience with LLMs and NLP tools (LangChain, Hugging Face, OpenAI API).
• Experience with AI/ML frameworks (TensorFlow, PyTorch, SciKit-learn).
• Proficiency in SQL and working with relational and NoSQL databases.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and version control (Git).

Key Skills

Education

Any Graduate