- *Experience:** 5–10 Years
- *Location:** Madurai, Tamil Nadu (Hybrid)
- *Shift:** 2:00 PM – 11:30 PM IST
- *Type:** Full\-Time
We are looking for a Senior Machine Learning Engineer with strong expertise in **Machine Learning, Generative AI (LLMs), and MLOps** to build scalable enterprise AI solutions.
Strong focus on **insurance domain use cases** such as **claims, fraud detection, underwriting, and risk scoring**.
Machine Learning \& AI Development
- Design and develop end\-to\-end **Machine Learning and Deep Learning models** for real\-world business problems
- Build predictive systems for **classification, regression, clustering, and anomaly detection**
- Perform **feature engineering, data preprocessing, and model evaluation at scale**
Generative AI / LLM Engineering
- Build and deploy **LLM\-based applications** (chatbots, copilots, summarization, Q\&A systems)
- Design and implement **RAG (Retrieval\-Augmented Generation) pipelines**
- Work with **embeddings, vector databases, and semantic search systems**
- Fine\-tune and evaluate **LLMs and embedding models for domain\-specific use cases**
Data Engineering \& Pipelines
- Build scalable pipelines for **structured and unstructured data**
- Process large datasets using **Apache Spark**
- Work with workflow orchestration tools like **Airflow (or similar)**
MLOps \& Deployment
- Deploy ML models using **FastAPI / Flask APIs**
- Implement **CI/CD pipelines for ML workflows**
- Use **Docker for containerized deployments**
- Monitor models in production and ensure performance stability
- Maintain **version control and experiment tracking**
Preferred Skills (Good to Have)
- Insurance domain experience
- Knowledge of **LangChain / LlamaIndex / Semantic Kernel**
- Exposure to **knowledge graphs or hybrid search systems**
- Experience with **multi\-agent AI systems**
- Document AI / OCR pipelines
Key Focus Areas
- Generative AI applications using **LLMs \+ RAG**
- Production\-grade ML system development
- Fraud detection and risk analytics
- Scalable AI pipelines in cloud environments
Interested candidates can share their updated resume to: **open.positions@idyaite.ai**
Pay: ₹1,000,000\.00 \- ₹1,500,000\.00 per year
Benefits
Experience
- Machine Learning \& Deep Learning: 5 years (Required)
- XGBoost: 3 years (Required)
- LLMs / RAG / GenAI?: 4 years (Required)
- MLOps, Docker, CI/CD, FastAPI?: 4 years (Required)
- Spark \& Airflow?: 2 years (Required)
- Python: 5 years (Required)
Location
- Madurai, Tamil Nadu (Madurai) (Preferred)
Work Location: Hybrid remote in Madurai, Tamil Nadu (Madurai)