Senior Machine Learning Engineer

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.

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