Idyaite.ai - AI/ML Engineer

Job Description :

Idyaite is hiring for a Senior Machine Learning Engineer role for one of our esteemed clients.

Position details :

Experience : 5 to 10 Years

Location : Madurai, Tamil Nadu

Shift : 2 : 00 PM 11 : 30 PM IST

Work Mode : Hybrid

Employment Type : Full-Time

Job Highlights :

Experienced Machine Learning professionals (immediate joiners preferred) skilled in Deep Learning, Generative AI, RAG, MLOps, Python, PyTorch/TensorFlow, and cloud platforms, with exposure to insurance-focused AI solutions and enterprise AI development.

Key Responsibilities :

• Design, develop, and deploy scalable Machine Learning, Deep Learning, and Generative AI solutions for real-world business problems

• Build LLM-powered applications including RAG pipelines, copilots, chatbots, summarization, and Q&A systems

• Work on insurance-focused use cases such as claims fraud detection, underwriting support, risk scoring, and intelligent document processing using OCR + NLP pipelines

• Build and maintain data pipelines, feature engineering workflows, and production-ready AI systems

• Fine-tune and evaluate LLMs and embedding models for domain-specific use cases

• Ensure model scalability, monitoring, MLOps best practices, versioning, and CI/CD implementation

• Collaborate with cross-functional teams including product, engineering, and business stakeholders

Required Skills & Qualifications :

• Strong expertise in Python, Scikit-learn, XGBoost, PyTorch, TensorFlow, predictive modeling, anomaly detection, and feature engineering

• Hands-on experience with LLMs, RAG, prompt engineering, embeddings, and vector databases (FAISS/Milvus)

• Experience building GenAI applications such as chatbots and document summarization systems

• Knowledge of Spark, Airflow, FastAPI/Flask, Docker, CI/CD, and cloud platforms like Azure, AWS, or GCP

• Familiarity with MLOps, model monitoring, version control, and experiment tracking tools

Preferred Qualifications :

• Experience in Insurance domain use cases such as claims processing, fraud detection, and underwriting analytics

• Exposure to OCR/NLP pipelines, graph-based anomaly detection, and AI orchestration frameworks

• Experience with LangChain, LlamaIndex, Semantic Kernel, knowledge graphs, and enterprise AI solution development