Description

You will build and deploy AI/ML models, leveraging Generative AI and LLM expertise to engineer data pipelines and implement MLOps workflows.

This role is on-site.

Responsibilities

• Develop and deploy models using Generative AI and Large Language Models.
• Implement ML workflows using MLOps practices across cloud platforms.
• Design data pipelines using SQL and NoSQL technologies for training and inference.
• Engineer and fine-tune LLMs using prompt engineering and RAG techniques.

Required Skills

• 5+ years of professional experience in software or ML engineering.
• Expert proficiency in Python.
• Deep expertise in PyTorch or TensorFlow.
• Experience with cloud platforms including GCP, AWS, or Azure.
• Proficiency in SQL and NoSQL database technologies.
• Strong command of data manipulation using Pandas and NumPy.
• Experience with Java, R, or C++.
• Familiarity with ML frameworks like Scikit-learn or Hugging Face.

Preferred Skills

• Advanced experience with RAG architectures and LLM fine-tuning.

Key Skills

Education

Any Gradute