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Role: AI/ML Engineer (Generative AI)
Experience: 3-5 years
Location: Infopark, Cochin
Job Summary:
We are looking for 3-5 years of experienced AI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), Vision Language Models (VLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks. The ideal candidate will design, develop, and deploy scalable AI solutions for intelligent automation, document processing, computer vision, and conversational AI.
Key Responsibilities:
Design and develop AI applications using LLMs, VLMs, RAG, and Agentic AI frameworks.
Build intelligent chatbots, AI assistants, and workflow automation solutions.
Develop and optimize AI/ML models for NLP, computer vision, and predictive analytics.
Implement vector databases and semantic search solutions.
Fine-tune and evaluate open-source LLMs using LoRA/PEFT techniques.
Develop REST APIs and production-ready AI services using FastAPI/Django.
Build scalable data pipelines for document ingestion, indexing, and retrieval.
Deploy AI solutions using Docker and cloud infrastructure.
Collaborate with cross-functional teams to deliver production-grade AI products.
Required Skills:
Strong programming skills in Python and SQL.
Experience with Generative AI, LLMs, LangChain, LlamaIndex, CrewAI, LangGraph, or AutoGen.
Hands-on experience with RAG architectures and vector databases (Qdrant, ChromaDB, Pinecone, Weaviate, or PGVector).
Knowledge of Machine Learning and Deep Learning frameworks (PyTorch, TensorFlow, Scikit-learn).
Experience with FastAPI/Django, REST APIs, and Docker.
Familiarity with PostgreSQL, MongoDB, and Elasticsearch.
Good understanding of AI model evaluation, prompt engineering, and production deployment.
Preferred Skills:
Experience in Computer Vision (YOLO, RT-DETR, OpenCV).
Experience with Airflow, cloud platforms, and MLOps.
Familiarity with explainable AI (SHAP) and AI benchmarking tools.
Experience:
3–5 years of experience in AI/ML Engineering with hands-on experience in Generative AI and production AI applications.
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
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