Description

You will design, build, and deploy advanced AI/ML models, including LLMs, to support scalable solutions.

This role is on-site.

Responsibilities

• Design and implement AI workflows using Azure OpenAI, AWS, GCP, Hugging Face, and LangChain.
• Build and refine prompts, RAG pipelines, embeddings, and vector search techniques to optimize performance.
• Integrate AI models into production systems via APIs, Python, and cloud services.
• Implement MLOps and CI/CD pipelines for reliable ML deployment.
• Collaborate with cross-functional teams to identify use cases and deliver measurable outcomes.

Required Skills

• 5+ years of experience with AI/ML technologies and large language models (GPT, Claude, Llama, Gemini, etc.).
• Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
• Hands-on experience with RAG, vector databases (FAISS, Pinecone, Chroma, Azure AI Search).
• Experience with cloud AI services (Azure, AWS, GCP).
• Strong knowledge of NLP, machine learning, and model evaluation techniques.
• Experience implementing MLOps and CI/CD pipelines for ML.

Preferred Skills

• Experience with computer vision.

Key Skills

Education

Any Graduate