AI/ML Engineer

📋 Description

• Design, develop, train, fine-tune, and evaluate ML/LLM-based solutions for business use cases
• Build and maintain end-to-end AI/ML pipelines from data ingestion to monitoring
• Develop Generative AI apps, including LLM-powered solutions and RAG systems
• Apply prompt, context engineering, and LLM fine-tuning to improve performance and relevance
• Design architectures using embeddings, vector databases, semantic search, and retrieval mechanisms
• Collaborate with Solution Architects, Data Scientists, and engineering teams to translate business

🎯 Requirements

• 3–6 years hands-on ML Engineering experience with production focus
• Strong Python proficiency and experience with PyTorch, TensorFlow, scikit-learn
• Proven hands-on experience with Generative AI, LLMs, fine-tuning, prompt engineering, and context
• Strong understanding of RAG architectures, embeddings, vector databases, and semantic search
• Experience building and deploying production ML/AI pipelines across full lifecycle
• Working knowledge of MLOps: versioning, CI/CD, deployment automation, lifecycle management

🎁 Benefits

• Remote work: Fully remote/offshore position based in India
• Contract engagement: Opportunity to work on real AI/ML initiatives
• Advanced AI exposure: Hands-on work with Generative AI, LLMs, RAG, fine-tuning, vector databases
• End-to-end ownership: Contribute across prototyping to production deployment and monitoring
• Technical growth: Exposure to modern cloud ML platforms, MLOps, AI observability
• Collaborative environment: Work with Solution Architects, Data Scientists, and engineers