Senior/Lead Machine Learning Engineer

We are looking for a capable Senior/Lead Machine Learning Engineer to join our remote team. The chosen candidate will have a significant role in the creation, development, and management of our ML pipeline, adopting industry-standard methodologies.

In this position, you will focus on building, deploying, maintaining, diagnosing, and improving components within the ML pipeline. Additionally, you will take the lead and contribute to the design and deployment of ML prediction endpoints. Partnering with System Engineers to establish the ML lifecycle management framework and advancing coding practices will be critical.

We welcome innovative individuals to become part of our dynamic team!

Kindly note that this role supports remote work, but only from within Ukraine.

Responsibilities

• Contribute to the design, development, and management of an ML pipeline aligned with best practices
• Develop, deploy, maintain, troubleshoot, and improve ML pipeline components
• Lead the design and deployment of ML prediction endpoints
• Collaborate with System Engineers to create the ML lifecycle management framework
• Write specifications, documentation, and user guides for applications
• Improve coding practices and organize repositories within the scientific workflow
• Set up pipelines for different projects
• Identify technical risks and inconsistencies, proposing mitigation strategies
• Work with data scientists to operationalize predictive models, ensuring clear understanding of model objectives and purposes, and develop scalable data preparation pipelines

Requirements

• 5+ years of programming experience, with a focus on Python and strong SQL knowledge
• Proficiency in MLOps tools and frameworks (e.g., Sagemaker, Vertex, Azure ML)
• Background in Data Science, Data Engineering, and DevOps Engineering at an intermediate level
• Evidence of delivering at least one project in an MLE capacity
• Expertise in Engineering Best Practices
• Skills in utilizing the Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or equivalent technologies for Data Products
• Familiarity with Big Data technologies (e.g., Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc.)
• Proficiency in working with automated data pipeline and workflow management tools such as Airflow or Argo Workflow
• Understanding of various data processing paradigms, including batch, micro-batch, and streaming
• Experience with at least one major Cloud Provider, such as AWS, GCP, or Azure
• Production familiarity with integrating ML models into complex, data-intensive systems
• Knowledge of DS technologies such as Tensorflow, PyTorch, XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers
• Competency in working with multiple database types, including Relational, NoSQL, Graph, Document, Columnar, Time Series, etc.

Nice to have

• Background in Databricks MLOps-related tools or technologies, including MLFlow, Kubeflow, TensorFlow Extended (TFX)
• Proficiency in performance testing tools, such as JMeter or LoadRunner
• Understanding of containerization technologies like Docker

We offer

• With us you can:
  • Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
  • Receive the necessary equipment to perform your work tasks
  • Change projects and technology stacks within EPAM
  • Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
  • Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
  • Participate in volunteer, charity programs and communities (both technical and interest-based)
• We focus on your professional growth:
  • You can plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
  • Study at EPAM Solution Architecture School with the instructors who are practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• What we offer:
  • Vacation and sick leave (including a sick leave without a medical certificate)
  • A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
  • Medical insurance for family members at corporate rates
  • Company support during significant life events (childbirth or adoption, marriage, etc.)
  • Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
  • E-kids program - a free programming language training program for EPAMers' children

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.