Lead Machine Learning Engineer Full-time

You are curious, persistent, logical and with a growth mindset a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as Lead Machine Learning Engineer.

#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

• 5+ years production experience as ML Engineer or Data Engineer
• Team management experience
• Confirmed team or project leading experience
• 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
• Problem-solving skills and strong decision-making skills
• Ability to foster new ideas and concepts
• Ability to bring strong opinions and constraints to a generally agreed solution design
• Ability to mentor and coach other team members
• 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)
• Software architecture and design experience
• Able to conduct technical interviews

We offer

• Opportunity to Engineer your Future and to drive the worlds 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