Lead Machine Learning Engineer – Agentic AI

Vedasoft Inc is seeking a Lead Machine Learning Engineer to design, develop, and deploy intelligent AI solutions for an insurance industry client. The role leads the architecture and delivery of production-grade machine learning, generative AI, and agentic AI systems, while partnering with cross-functional teams and mentoring engineers. Key responsibilities include developing ML and AI agent solutions, building cloud-based architectures and MLOps pipelines, implementing monitoring and governance, and providing technical leadership.

Responsibilities:

• Architect, design, develop, test, and deploy Machine Learning and Agentic AI systems for complex business problems
• Build production-ready LLM/GenAI and AI agent solutions , including data, ingestion, memory, and observability pipelines
• Develop application code and ML models using Python, SQL, and C++ as applicable
• Design scalable cloud-based ML architectures and optimize models for production workloads
• Build RESTful APIs, microservices, and distributed applications supporting AI/ML solutions
• Implement CI/CD, automated testing, model deployment, monitoring, and operational best practices
• Develop and manage ML pipelines using technologies such as MLflow, AWS SageMaker, GitHub Actions, Jenkins, or CloudBees
• Implement model monitoring, validation, drift detection, bias detection, explainability, performance monitoring, and Agentic AI observability
• Develop data transformation and processing pipelines using Spark/PySpark and other data engineering technologies
• Work with relational, NoSQL, graph, structured, semi-structured, and unstructured data
• Partner with Data Science, Data Engineering, DevSecOps, Product, and Analytics teams to deliver scalable AI products
• Provide technical leadership, remove complex technical impediments, and coach other engineers
• Stay current with emerging AI/ML technologies and continuously identify opportunities for innovation

Requirements:

• • Strong hands-on experience in Machine Learning Engineering and production ML systems
• • Proven experience building Generative AI / LLM / Agentic AI solutions
• • Strong Python programming skills; SQL required
• • Experience with ML/DL frameworks such as PyTorch, TensorFlow, or Scikit-learn
• • Strong understanding of ML algorithms, neural networks, NLP, predictive analytics, and model development
• • Experience with MLOps, CI/CD, model deployment, monitoring, and governance
• • Experience with AWS or other major cloud platforms and cloud-based ML architectures
• • Experience with MLflow, SageMaker Pipelines, or equivalent ML pipeline frameworks
• • Experience with Spark/PySpark and distributed data processing
• • Strong software engineering fundamentals including object-oriented programming, REST APIs, microservices, version control, testing, and distributed systems
• • Experience working with relational, NoSQL, and/or graph databases
• • Strong problem-solving, communication, collaboration, and technical leadership skills
• • Experience with Agile development methodologies
• • Experience with Agent Development Life Cycle (ADLC)
• • Experience with agent memory, context management, agent orchestration, and AI observability
• • Experience with LLM development tools such as Claude Code or similar AI-assisted development tools
• • Experience with GitHub Actions, Jenkins, or CloudBees
• • C++ development experience
• • Experience with NLP and/or Computer Vision
• • Insurance or financial services industry experience
• • Bachelor's degree in Computer Science, Engineering, or a related technical field