Description

Build and deploy generative AI models and LLMs using Python, PyTorch, and TensorFlow.

This role is on-site.

Responsibilities

• Develop and fine-tune LLMs using prompt engineering and RAG techniques.
• Build scalable data pipelines using SQL, NoSQL, Pandas, and NumPy.
• Implement MLOps practices for model deployment on AWS, Azure, or GCP.
• Integrate AI services with backend systems using Node.js or Java.

Required Skills

• Expert-level Python programming.
• Deep learning frameworks: PyTorch, TensorFlow, Keras, Scikit-learn.
• Generative AI: LLMs, Hugging Face, Ollama, RAG, prompt engineering.
• Data engineering: SQL, NoSQL, Pandas, NumPy.
• Cloud platforms: AWS, Azure, or GCP.
• MLOps and model deployment strategies.
• Additional languages: Node.js, R, C++, or Java.

Preferred Skills

• 5+ years of experience in AI/ML development.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree