Senior AI Engineer

• *Senior AI/ML Engineer (Immediate Joiners Preferred)**

• *Location:** Madurai, Tamil Nadu

• *Work Mode:** Hybrid

• *Shift Timing:** 2:00 PM – 11:30 PM IST

We are looking for experienced Machine Learning professionals with strong expertise in **Deep Learning, Generative AI, MLOps, Python, PyTorch/TensorFlow, and Cloud Platforms**. Candidates with exposure to **Insurance\-focused AI Solutions** and **Enterprise AI Development** are highly preferred.

• *Key Responsibilities**

• Design, develop, and deploy scalable **Machine Learning**, **Deep Learning**, and **Generative AI** solutions for real\-world business challenges.
• Build and optimize **LLM\-powered Applications**, including **RAG Pipelines**, **Copilots**, **Chatbots**, **Summarization**, and **Q\&A Systems**.
• Develop AI solutions for insurance use cases such as **Claims Fraud Detection**, **Underwriting Support**, **Risk Scoring**, and **Intelligent Document Processing using OCR and NLP**.
• Build and maintain **Data Pipelines**, **Feature Engineering Workflows**, and **Production\-Ready AI Systems**.
• Fine\-tune, evaluate, and optimize **LLMs** and **Embedding Models** for domain\-specific applications.
• Implement **MLOps Best Practices**, including **Versioning**, **Scalability**, **CI/CD**, and **Deployment Automation**.
• Collaborate with product, engineering, and business teams to deliver impactful AI solutions.

• *Required Skills \& Qualifications**

• Strong proficiency in **Python**, **Scikit\-learn**, **XGBoost**, **PyTorch**, **TensorFlow**, **Predictive Modeling**, **Anomaly Detection**, and **Feature Engineering**.
• Strong understanding of **LLMs**, **Prompt Engineering**, and **Vector Databases (FAISS, Milvus)**.
• Knowledge of **Spark**, **Airflow**, **FastAPI/Flask**, **Docker**, **CI/CD Pipelines**, and **Cloud Platforms (Azure, AWS, or GCP)**.
• Experience with **MLOps**, **Experiment Tracking**, and **Version Control Systems**.

• *Preferred Qualifications**

• Experience in **Insurance Domain Use Cases**, including **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\-Scale AI Solution Development.

• *Compensation:** Competitive and negotiable based on skills, experience.

Interested candidates can share their updated resume at: open.positions@idyaite.ai

Ability to commute/relocate

• Madurai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Application Question(s)

• Do you have experience working on insurance\-related AI/ML use cases?
• What is your notice period duration (in days)?
• What is your current CTC per annum?
• What is your expected CTC per annum?
• Are you comfortable working the 2:00 PM – 11:30 PM IST shift?

Experience

• Machine Learning and AI: 5 years (Required)

Work Location: Hybrid remote in Madurai, Tamil Nadu