[Remote] Senior/Lead Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a capable Senior/Lead Machine Learning Engineer to join their remote team. The role involves significant responsibilities in the creation, development, and management of the ML pipeline, including building, deploying, and improving components within the pipeline, as well as leading the design and deployment of ML prediction endpoints.

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

Skills

• 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
• 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

Benefits

• 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)
• 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)
• 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

Company Overview

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