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    Janea Systems

    Lead Machine Learning Engineer

    Janea Systems
    Full-time
    Verified Remote
    RemoteProgramming4 months ago

    About this role

    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.

    Location

    Fully Remote/ European Residence required

    Compensation

    Salary

    Work Schedule

    Full time/ Flexible working hours

    Reports to

    Head of Engineering

    Member of

    Engineering Team

    To be considered for this position, you must have the following qualifications:

    • 8+ years of experience in software engineering, machine learning engineering, or applied AI.
    • 3+ years of experience in technical leadership or mentoring engineering teams.
    • Strong experience developing and deploying machine learning models in production environments.
    • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
    • Experience designing scalable ML systems and data pipelines.
    • Strong programming skills in Python and experience with backend or distributed systems.
    • Experience with cloud platforms (AWS, Azure, or GCP).
    • Experience with containerization and deployment technologies (Docker, Kubernetes).
    • Strong understanding of MLOps practices and model lifecycle management.
    • Excellent problem-solving skills and ability to work independently in remote environments.
    • Strong written and spoken English communication skills.
    • Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

    Ideal candidates will also have:

    • Experience working with LLMs, generative AI systems, or deep learning architectures.
    • Experience building ML platforms or internal AI tooling.
    • Familiarity with distributed training and large-scale data processing frameworks.
    • Experience with feature stores, model monitoring, and ML observability tools.
    • Experience delivering ML solutions in client-facing consulting environments.

    Why join Janea? Because world-class talent deserves world-class opportunities. What we offer:

    • Competitive compensation with benefits, paid vacation, and sick leave.
    • The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.
    • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
    • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
    • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.

    #LI-DNI

    About Janea Systems

    Janea Systems
    Janea Systems

    Janea Systems is a dynamic software engineering firm specializing in high-impact software development services for Fortune 500 companies. The company provides expertise across the full technology stack, from kernel-level programming to cloud infrastructure. They focus on delivering solutions in artificial intelligence, machine learning platforms, and distributed systems architecture. Their consulting engineering team works with enterprise clients to design and implement production-ready AI platforms, data pipelines, and scalable software systems.

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