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EPAM

Senior Machine Learning Engineer

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    Tech Stack / Изисквания

    We are seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team.

    The ideal candidate will be responsible for deploying and monitoring machine learning algorithms in a production environment, designing end-to-end ML deployment lifecycle, and promoting best practices in MLOps. If you have a strong background in machine learning engineering and are looking to take on a challenging role in a fast-paced environment, we encourage you to apply.

    #LI-DNI#LI-SG6

    Responsibilities

    • Deploy and monitor machine learning algorithms in production environment
    • Design, create, maintain, troubleshoot, and optimize the performance of complete end-to-end ML deployment lifecycle
    • Build frameworks for data scientists to accelerate the development of production-grade ML models
    • Establish and configure CI/CD/CT processes
    • Identify technical risks and gaps, devise mitigation strategies
    • Evaluate new tools and techniques
    • Promote and support MLOps practices

    Requirements

    • 3+ years production experience as ML Engineer or Data Engineer
    • Several years of experience working with one of the major cloud providers (such as AWS, Azure, GCP)
    • Experience in Python development and the Python ML ecosystem
    • Good understanding of the ML fundamentals, data preparation and feature engineering
    • Experience with automated data pipeline and workflow management tools
    • Experience with basic software engineering tools (e.g., git, CI/CD environment, PyPi, Docker, Kubernetes)
    • Experience with one of the infrastructure as a code (IoC) frameworks (e.g.: Terraform / CDK TF, Ansible, AWS CloudFormation / AWS CDK, etc.)
    • Agile development experience
    • Good analytical and problem-solving skills
    • Good attention to detail
    • Open to code reviews and pair programming
    • Clear, concise communication skills and good command of written and spoken English

    Nice to have

    • Experience with at least one of the MLOps related platforms or technologies (such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, Argo Workflow, TensorFlow Extended (TFX), etc.)
    • Understanding of the Apache Spark ecosystem (Spark SQL, MLlib/Spark ML)

    We offer

    • Opportunity to Engineer your Future and to drive the world’s digital transformation with top industry clients
    • Personal development program that will allow you to be valued for your strengths
    • Wide range of professional trainings and workshops
    • Being part of a collaborative, fast-growing, and innovative design team
    • Established and accelerated growth toward different career paths, competencies, and roles
    • Broad projects variety and possible mobility between projects over the time
    • Collaboration in a multicultural environment and exchange of best practices with colleagues around the world
    • Varied social benefits, Sports, Transportation and Health programs
    • Work-life balance and flexible schedule, team buildings and sport opportunities
    • Modern office/collaboration spaces (incl. new Infinity Tower business center, Sofia)
    • Hybrid By Design – we provide you with the best productivity options from the 2 worlds. Meet, socialize and enjoy F2F time with your colleagues, while working from the modern EPAM’s office for a few days per week and benefit from the EPAM’s virtual working environment – making you able to be productive and work from remote for the rest of the week