Lead Mach
длъжност на пълно работно време

Lead Mach

София длъжност на пълно работно време

Описание на позицията

Why epam?

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.


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.

What You’ll Do
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

What You Have
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
Personal development program that will allow you to be valued for your strengths
Wide range of professional trainings and workshops
Broad projects variety and possible mobility between projects over the time
Collaborate in a multicultural environment and exchange best practices with colleagues around the world
Varied social benefits; Sports, Transportation and Health programs
Employee Stock Purchase Plan
Work-life balance and flexible schedule, team buildings and sport opportunities
Modern office in the new Infinity Tower business center
Remote By Design™ - we provide you with virtual working environment making you able to be productive and work from any location – being your home, a nice sunny terrace, summer or any of the EPAM offices all around the globe

Great! What's Next?
Send us your up-to-date CV or LinkedIn profile, representing your skills and past projects’ achievements
We’ll get in touch with you and help you ensure you’ve identified the most suitable role we have for you based on your strengths and passion
We’ll invite you for follow up technical conversations with your potential future colleagues and/or project, which can be done face to face in a calm meeting room at our office or via video conferencing call from your cozy place
At the end we will align how we can best proceed further in a mutual agreement

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