Sr. AIML Engineer (5 years)

• *Position details:**

• **Job Title:** Senior Machine Learning Engineer
• **Experience:** 5 to 10 Years
• **Job Location:** Madurai, Tamil Nadu (Hybrid)
• **Shift:** 2:00 PM 11:30 PM IST
• **Job Type:** Full\-Time

• *Job Highlights:** Looking for **immediate joiners** based in or willing to relocate to **Madurai**, with hands\-on experience in **Machine Learning, Deep Learning, Generative AI, Python, MLOps, cloud platforms (Azure/AWS), and enterprise AI solution development.**

• *Role Overview:**

We are looking for a highly skilled **Machine Learning Engineer** with strong expertise in both traditional machine learning and modern Generative AI (LLMs) to design, build, and deploy scalable AI solutions. The ideal candidate will work on large\-scale structured and unstructured data, enabling intelligent automation and insights, particularly in domains such as **insurance (claims, underwriting, fraud detection).**

• *Key Responsibilities:**

• Design, develop, and deploy **Machine Learning** and **Deep Learning** models.

Required Skills

• Strong experience in **Machine Learning**, **Deep Learning**, and **Predictive Analytics**.
• Proficiency in **Python**, **Scikit\-Learn**, **XGBoost**, **PyTorch**, and **TensorFlow**.
• Hands\-on experience with **LLMs**, **RAG**, **Prompt Engineering**, **Embeddings**, and **Vector Databases**.
• Experience with **Spark**, **Airflow**, **Azure**, **AWS**, or **GCP**.
• Knowledge of **MLOps**, **Docker**, **CI/CD**, **FastAPI**, and **Version Control**.
• Experience working with large\-scale datasets and production AI systems.

• *Preferred Qualifications:**

• Experience in **Insurance**, **Claims Processing**, **Fraud Detection**, or **Underwriting Analytics**.
• Exposure to **OCR**, **NLP**, and **Document AI** solutions.
• Experience with **LangChain**, **LlamaIndex**, or **Semantic Kernel**.
• Knowledge of **Knowledge Graphs**, **Hybrid Search Systems**, or **Enterprise AI Solution Development**.

• *Soft Skills:**

• Strong analytical and problem\-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to work in a fast\-paced environment.
• Ownership mindset with a focus on delivering production\-ready solutions.
• Build scalable solutions for structured and unstructured data processing.
• Develop **Generative AI** applications including **RAG (Retrieval\-Augmented Generation)** pipelines, AI copilots, Q\&A systems, and document summarization solutions.
• Build predictive models for classification, regression, clustering, anomaly detection, and fraud detection.
• Fine\-tune and evaluate **LLMs**, embeddings, and vector search solutions.
• Build and maintain data pipelines and feature engineering workflows.
• Deploy models using **FastAPI**, **Azure**, **AWS**, and cloud platforms.
• Implement **MLOps**, model monitoring, versioning, and **CI/CD** pipelines.
• Collaborate with Product, Data Engineering, and Business teams.

• *Interested candidates can share their resumes or connect with us directly:**
• *open.positions@idyaite.ai**

Benefits

• Flexible schedule
• Work from home

Application Question(s)

• What is your current CTC per annum?
• What is your expected CTC per annum?
• What is your notice period duration (in days)?
• Are you willing to relocate to Madurai, Tamil Nadu?

Experience

• Machine learning: 5 years (Required)
• Deep learning: 5 years (Required)
• PyTorch: 2 years (Required)
• TensorFlow: 2 years (Required)
• Python: 5 years (Required)

Work Location: Hybrid remote in Madurai, Tamil Nadu (Madurai)