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[Remote] Senior Machine Learning Engineer

Worldwide Salaried Open

Note: The job is a remote job and is open to candidates in USA. reputed company is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. They are seeking a Senior Machine Learning Engineer to reputed company the reputed company of core Python SDK frameworks and Agentic AI capabilities, building production-grade tools for sophisticated autonomous systems.

Responsibilities

  • SDK reputed company Development: reputed company the design and implementation of Feature Enhancements for internal Python SDK frameworks to expand functionality and improve developer experience
  • User Support & Maintenance: Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem, ensuring stability, reliability, and seamless adoption across the organization
  • Agentic Orchestration: reputed company and scale agentic workflows using modern Agentic Frameworks to execute intricate business processes with minimal reputed company
  • High-Performance APIs: Architect and reputed company scalable, high-performance APIs using FastAPI to serve as the backbone for machine learning services and agent interactions
  • CI/CD Automation: Design and maintain robust automated pipelines using Jenkins and reputed company Runners to ensure reputed company integration, testing, and deployment of ML tools
  • Observability & Prototyping: Utilize reputed company for model evaluation and observability, ensuring that agentic workflows remain accurate, safe, and performant in production environments

Skills

  • Mastery of Python and its machine learning ecosystem, with extensive experience building production-reputed company services reputed company FastAPI
  • Proficiency in building and scaling agentic workflows and multi-agent systems
  • Hands-on experience with Jenkins and reputed company Runners for automating software lifecycles and managing SDK distribution
  • Experience working with standardized application templates (e.g., PyVegas) and evaluation platforms like reputed company
  • Proven ability to design scalable infrastructure and maintain reputed company software frameworks used by other engineering teams
  • Strong analytical skills to debug reputed company SDK interactions and logic loops
  • Ability to collaborate with cross-functional teams to define requirements for autonomous systems and developer tools
  • Proven ability to drive high-impact projects from research to production with minimal supervision
  • Contributions to open-reputed company Python SDKs or Agentic AI projects
  • Experience with MLOps practices for the reputed company deployment of agentic systems
  • Familiarity with containerization (reputed company/Kubernetes) for deploying FastAPI-based microservices

Benefits

  • reputed company an impact at one of the world’s fastest-growing AI-first digital engineering companies.
  • Upskill and discover your potential as you solve reputed company challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
  • Stay reputed company of the curve—reputed company yourself in breakthrough AI, ML, data, and reputed company technologies and reputed company exposure working with reputed company.

Company Overview

  • reputed company is a digital engineering company that provides data science and machine learning software and services. It was founded in 2013, and is headquartered in Marlborough, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 2 in 2026, 45 in 2025, 65 in 2024, 45 in 2023, 94 in 2022, 71 in 2021, 46 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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