Senior AI/ML Engineer (GenAI & AI Agents)

Location: [Trivandrum/ Onsite / Kerala]

Experience: 4+ Years

Key Responsibilities
GenAI & Agentic Systems: Architect and deploy energetic AI agents, multi-agent workflows, RAG applications, and interactive chatbots using commercial APIs and local LLMs.
Model Training & Fine-Tuning: Train, fine-tune, and optimize ML/DL models across NLP, computer vision, and time-series domains.
Cloud & MLOps: Deploy scalable pipelines on AWS (Bedrock, SageMaker, Lambda) with robust CI/CD, Docker containerization, and automated retraining.
Multimodal Processing: Build intelligent processing pipelines for speech, document/PDF, and image data.
Cross-Functional Ownership: Collaborate with business stakeholders to map business use cases into scalable, secure, and documented technical solutions.

Requirements (Mandatory)
Core Tech Stack: Python, PyTorch, TensorFlow, Docker, GitHub, AWS (Bedrock, SageMaker, Lambda).
AI/ML Expertise:



Robust foundation in NLP, Computer Vision, Time Series Forecasting, and System Design (scalability & performance optimization).
GenAI & Agents: Practical experience building AI Agents, contemporary RAG systems, and applying prompt engineering techniques (e.g., Chain-of-Thought).
Multimodal Engineering: Hands-on experience developing speech processors, PDF processors, and computer vision pipelines.
Experience: 4+ years in software development focusing on ML/AI product execution.

Nice to Have
Prior experience in Healthcare / MedTech projects.
Hands-on work with multi-agent AI systems and advanced GenAI toolkits.
Exposure to Responsible AI practices (guardrails, output moderation, and ethical AI design).
Experience with large-scale LLM pre-training and fine-tuning.

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