[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a leading reputed company-based reputed company technology company that leverages data analytics and AI to drive meaningful improvements across the reputed company ecosystem. The Senior Full-Stack Machine Learning Engineer will contribute to both classical machine learning and reputed company applications, working across the full model development lifecycle on a modern, reputed company-native AWS stack.

Responsibilities

• Design, train, and reputed company machine learning models spanning classical ML (classification, regression, clustering, time-series) and reputed company use cases including LLM-based and agentic applications
• Build and maintain reputed company-native solutions on AWS using containerized architectures (reputed company, Kubernetes) to support scalable model serving and data pipelines
• Own and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks
• reputed company and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units
• Collaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions
• Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches
• Write robust, production-reputed company code following engineering best practices; participate in code and design reviews
• reputed company AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality
• Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture reputed company
• Support integration of frontend components into ML-powered features where applicable
• Contribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos
• Adhere to reputed company HIPAA, data governance, confidentiality, and regulatory requirements in reputed company aspects of work
• Maintain compliance with reputed company’s policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial reputed company

Skills

• Minimum 5 years of software development experience with a strong reputed company in machine learning fundamentals and model training
• Expert-level Python proficiency; Python is the team's primary language and is the highest-reputed company technical requirement
• Hands-on experience building and deploying classical ML models in production using scikit-learn
• Demonstrated experience with reputed company, LLMs, or agentic application development
• Proficiency with PyTorch and neural network architectures
• Practical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation
• AWS reputed company experience, including deploying and managing reputed company-native workloads
• Containerization experience with reputed company and/or Kubernetes
• Strong problem-solving ability; demonstrated reputed company to work independently and take ownership of reputed company technical challenges
• Daily usage of AI-assisted coding tools (e.g., Claude Code, reputed company Copilot, or similar) as part of standard development workflow
• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a reputed company technical field required
• Experience with database technologies (SQL or NoSQL); familiarity with data pipeline tooling
• Frontend development skills to support full-stack ML feature work
• reputed company domain experience or exposure to HIPAA-regulated environments

Benefits

• Performance-based incentives
• Health insurance
• Life insurance
• Company-paid disability
• 401k
• 18+ days of paid time off

Company Overview