Senior AI & Machine Learning Engineer/Lead/Architect/Head

Greetings of the day!!

I am Arumugam Veera, reaching out to you regarding an exciting career opportunity with Naveera Technology LLC. I would be happy to connect and discuss the opportunity further. You can also connect with me on LinkedIn:https://www.linkedin.com/in/arumugamv/

About Naveera Technology LLC

Naveera Technology LLC is a trusted global engineering partner delivering Data Engineering, Generative AI, Application Development, and IT Infrastructure solutions. With over 15 years of experience in IT services and consulting, we help organizations transform raw data into actionable business value.

With a team of 100+ employees and successful delivery of 3+ global projects, Naveera serves clients across multiple industries and geographies through agile delivery models and proven engineering practices.

From Digital Health and Financial Services to E-Commerce and Technology, we support a diverse client base and back every engagement with proven frameworks, low-attrition teams, and scalable global delivery capabilities. At Naveera, we empower organizations to turn challenges into opportunities, data into insights, and innovative ideas into enterprise-grade platforms.

Specialties
Data Engineering & Modern Data Stack, Generative AI Solutions & Model Deployment, Application Development (Web, Mobile & Enterprise), Artificial Intelligence (Predictive, Conversational, Computer Vision), IT Infrastructure Services (Cloud & On-Prem), Security, DR, Cloud Transformation & Microservices, DevOps, API & Systems Integration, Extended Technology Teams & Dedicated Delivery, Real-Time Streaming & Analytics, and BI & Data Warehousing

Job Title: Senior AI & Machine Learning Engineer/Lead/Architect/Head

Experience: 7 to 15 Years

Job Location: Madurai, Tamil Nadu, India

Shift: 2:00 PM 11:30 PM IST

Working Mode: Remote/Hybrid (Quarterly one week travel would be required to Madurai Location

Job Type: Full-Time

Key Skills: Machine Learning Engineer, deep learning, insurance, Scikit learn, PyTorch, TensorFlow, Python, MLOps, CI/CD, XGBoost, Retrieval-Augmented Generation, Spark, Airflow, Azure, AWS, FastAPI, Docker, version control, claims, LangChain, LlamaIndex, Semantic Kernel, 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 end-to-end machine learning and deep learning models for

real-world business problems

• Build scalable solutions for large-volume data processing (structured & unstructured)
• Develop and optimize Generative AI applications using LLMs (e.g., RAG pipelines, copilots,

summarization, Q&A systems)

• Implement predictive analytics models such as classification, regression, clustering, and

anomaly detection

• Work on insurance-focused use cases, including:
• Claims anomaly/fraud detection
• Risk scoring and underwriting support
• Document processing (OCR + NLP pipelines)
• Build and maintain data pipelines and feature engineering workflows
• Fine-tune and evaluate LLMs and embedding models for domain-specific use cases
• Ensure model performance, scalability, and monitoring in production environments
• Collaborate with cross-functional teams (product, data engineering, business stakeholders)
• Maintain best practices in MLOps, model versioning, and CI/CD pipelines

Required Skills & Qualifications

Core ML & Data Science

• Strong foundation in machine learning algorithms (supervised & unsupervised)
• Experience with anomaly detection, time-series, and predictive modeling
• Proficiency in Python and ML libraries (Scikit-learn, XGBoost, PyTorch/TensorFlow)
• Experience with data preprocessing, feature engineering, and model evaluation Generative AI & NLP
• Hands-on experience with LLMs (OpenAI, Claude, Hugging Face, etc.)

• Strong understanding of:
• RAG (Retrieval-Augmented Generation)
• Prompt engineering & evaluation
• Embeddings & vector databases (e.g., FAISS, Milvus)
• Experience building GenAI applications (chatbots, document, summarization systems)
• Experience working with large datasets (batch + streaming)
• Knowledge of data pipelines and tools (Spark, Airflow, or similar)
• Familiarity with cloud platforms (Azure, AWS, or GCP)MLOps & Deployment
• Experience deploying models using APIs (FastAPI/Flask)
• Understanding of Docker, CI/CD pipelines, and model monitoring
• Knowledge of version control and experiment tracking tools

Preferred Qualifications

• Experience in the Insurance domain (claims processing, fraud detection, underwriting analytics)
• Familiarity with document AI / OCR / NLP pipelines for insurance workflows
• Experience with graph-based or network-based anomaly detection
• Exposure to multi-agent systems or AI orchestration frameworks
• Understanding of regulatory and compliance considerations in insurance AI

Key Use Cases You Will Work On

• AI-powered claims anomaly & fraud detection systems
• Intelligent document processing and insights extraction
• Generative AI-based assistants for claims and underwriting teams
• Predictive models for risk assessment and customer insights

Soft Skills

• Strong problem-solving and analytical thinking
• Ability to work in a fast-paced, ambiguous environment
• Effective communication with both technical and business stakeholders
• Ownership mindset with a focus on delivering production-ready solutions

Nice to Have

• Experience with LangChain / LlamaIndex / Semantic Kernel
• Knowledge of knowledge graphs and hybrid search systems
• Prior experience in enterprise AI solution development

• Lead large-scale AWS-to-GCP cloud transformation initiatives.
• Work on enterprise Data Lakehouse and analytics modernization projects.
• Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker.
• Flexible remote work environment.
• Exposure to global enterprise customers.
• Collaborative, innovation-driven engineering culture.
• Continuous learning and certification opportunities.

Join Naveera Technology LLC and play a pivotal role in delivering enterprise-scale AWS-to-GCP cloud transformation programs. Lead the modernization of data platforms, ETL pipelines, and analytics ecosystems while driving innovation across cloud-native data engineering, Data Lakehouse architectures, and next-generation Business Intelligence solutions.