AI/ML Engineer

About the role

We are looking for a hands-on AI/ML Engineer to design, develop, and productionize machine learning and Generative AI solutions for real-world business use cases. The ideal candidate should have strong experience in Python, machine learning, deep learning, LLMs, RAG, and MLOps , along with recent hands-on experience delivering Generative AI solutions in production environments.

What you'll do

• Design, develop, train, fine-tune, and evaluate machine learning and LLM-based solutions
• Build and maintain end-to-end ML/AI pipelines, covering data ingestion, processing, model development, inference, deployment, and monitoring
• Develop and implement Generative AI applications , including LLM-powered solutions and RAG-based systems
• Apply prompt engineering, context engineering, and LLM fine-tuning techniques to improve model performance and reliability
• Design and implement solutions using vector databases, embeddings, and retrieval-augmented generation (RAG) architectures

What you need

• 3–6 yrs of experience
• Machine learning
• LLMs
• Python
• Scikit-learn
• MLOps
• Deep learning
• Any graduate

Good to have

• Docker
• Kubernetes
• Microservices
• Prompt engineering
• AWS
• PyTorch