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    Senior Machine Learning Engineer
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    N-iX

    Senior Machine Learning Engineer

    N-iX
    4 500 - 5 000 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote
    N-iX

    N-iX

    N-iX is a global software development service company that helps businesses across the globe create mind-blowing software products. Founded in 2002, today we’re a team of 2,200+ tech-savvy professionals working on innovative projects for global industry leaders and Fortune 500 companies.

    Company profile

    Tech stack

      Machine Learning

      advanced

      AWS

      advanced

    Job description

    Online interview
    Friendly offer

    N-iX is looking for a Senior Machine Learning Engineer to join the team.

    Our client is a leading global provider of high-quality licensed images, videos, and music. The company helps inspire graphic designers, creative directors, video editors, filmmakers, web developers, and other creative professionals by providing diverse content to businesses, marketing agencies, and media organizations around the world.


    Requirements:

    • 2+ years of development experience in the ML domain (train and understand deep learning models, optimization, evaluation, and all the data aspects, fine-tune LLMs for specific business problems)
    • Experience with Deep learning (must)
    • LLMs + multi-modal (must)
    • Computer vision, NLP - will be a plus.
    • Experience with AWS, AWS SageMaker (must), AWS Bedrock.
    • Hands-on experience with modern machine learning libraries and frameworks, e.g. TensorFlow or Pytorch
    • Understanding of CS fundamentals such as Distributed Systems, Database Systems, Operating Systems, algorithms, and data structures. Hands-on coding and debugging experience using modern software delivery methods to develop services using Python,
    • Go, or JVM-based languages (Java, Kotlin).
    • Experience with designing and owning highly available, fault-tolerant backend systems using cloud storage services.
    • Experience building software for database administration or experience with devops for databases is a plus.


    Responsibilities:

    • Contribute to the implementation of large-scale and low-latency services, elegant abstractions, shareable libraries, and robust APIs.
    • Partner with other engineering teams vendors to develop reliable and scalable solutions to a wide range of problems.
    • Review others’ work and provide reinforcing and constructive feedback to meet high-quality standards.
    4 500 - 5 000 USD

    B2B