Note: The job is a remote job and is open to candidates in USA. Vedasoft Inc is seeking a Lead Machine Learning Engineer to support an insurance industry client. The role focuses on architecting, developing, and deploying production-grade Machine Learning, Generative AI, and Agentic AI solutions while providing technical leadership and mentoring engineering team members.
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
Skills
- • 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
Benefits
- 100% Remote
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