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.ResponsibilitiesDeploy and monitor machine learning algorithms in production environmentDesign, create, maintain, troubleshoot, and optimize the performance of complete end-to-end ML deployment lifecycleBuild frameworks for data scientists to accelerate the development of production-grade ML modelsEstablish and configure CI/CD/CT processesIdentify technical risks and gaps, devise mitigation strategiesEvaluate new tools and techniquesPromote and support MLOps practicesRequirements3+ years production experience as ML Engineer or Data EngineerSeveral years of experience working with one of the major cloud providers (such as AWS, Azure, GCP)Experience in Python development and the Python ML ecosystemGood understanding of the ML fundamentals, data preparation and feature engineeringExperience with automated data pipeline and workflow management toolsExperience 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 experienceGood analytical and problem-solving skillsGood attention to detailOpen to code reviews and pair programmingClear, concise communication skills and good command of written and spoken EnglishNice to haveExperience 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/Benefits
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
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