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Lead Machine Learning Engineer

Janea Systems

Remote · worldwide, UTC+4 acceptedSalary not disclosedfull-timeVerified recentlyHimalayas

We are seeking an exceptionally talented Lead Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients.

Responsibilities

  • Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
  • We are seeking an exceptionally talented Lead Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients.
  • You will work at the intersection of machine learning, distributed systems, and production software engineering, helping transform cutting-edge ML research into robust, production-grade solutions. As a Lead ML Engineer, you will guide ML architecture decisions, mentor engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.
  • 3+ years of experience in technical leadership or mentoring engineering teams.
  • Strong experience developing and deploying machine learning models in production environments.
  • Experience designing scalable ML systems and data pipelines.
  • Experience with containerization and deployment technologies (Docker, Kubernetes).
  • Strong understanding of MLOps practices and model lifecycle management.
  • Experience building ML platforms or internal AI tooling.
  • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.

Languages

    Work format
    Remote
    Seniority
    Senior
    Posted
    15 Sept 2026 (4 days ago)
    Last verified
    20 Sept 2026
    Apply by
    14 Nov 2026

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