[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.ResponsibilitiesContribute to the design, development, and management of an ML pipeline aligned with best practicesDevelop, deploy, maintain, troubleshoot, and improve ML pipeline componentsLead the design and deployment of ML prediction endpointsCollaborate with System Engineers to create the ML lifecycle management frameworkWrite specifications, documentation, and user guides for applicationsImprove coding practices and organize repositories within the scientific workflowSet up pipelines for different projectsIdentify technical risks and inconsistencies, proposing mitigation strategiesWork with data scientists to operationalize predictive models, ensuring clear understanding of model objectives and purposes, and develop scalable data preparation pipelinesSkills5+ years of programming experience, with a focus on Python and strong SQL knowledgeProficiency in MLOps tools and frameworks (e.g., Sagemaker, Vertex, Azure ML)Background in Data Science, Data Engineering, and DevOps Engineering at an intermediate levelEvidence of delivering at least one project in an MLE capacityExpertise in Engineering Best PracticesSkills in utilizing the Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or equivalent technologies for Data ProductsFamiliarity 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 WorkflowUnderstanding of various data processing paradigms, including batch, micro-batch, and streamingExperience with at least one major Cloud Provider, such as AWS, GCP, or AzureProduction familiarity with integrating ML models into complex, data-intensive systemsKnowledge of DS technologies such as Tensorflow, PyTorch, XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, TransformersCompetency in working with multiple database types, including Relational, NoSQL, Graph, Document, Columnar, Time Series, etcBackground in Databricks MLOps-related tools or technologies, including MLFlow, Kubeflow, TensorFlow Extended (TFX)Proficiency in performance testing tools, such as JMeter or LoadRunnerUnderstanding of containerization technologies like DockerBenefitsWork on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in UkraineReceive the necessary equipment to perform your work tasksChange projects and technology stacks within EPAMGain 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 locationsParticipate in volunteer, charity programs and communities (both technical and interest-based)You can plan your individual career path together with your managerReceive regular feedback from colleaguesImprove 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 CloudsUse the internal E-learn training program (18,200+ specialized training and mentoring programs)Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resourcesStudy at EPAM Solution Architecture School with the instructors who are practicing architectsDevelop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and moreParticipate 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 ratesCompany support during significant life events (childbirth or adoption, marriage, etc.)Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic trainingE-kids program - a free programming language training program for EPAMers' childrenCompany OverviewEPAM leverages its core engineering expertise as a leading global product development and digital platform engineering services company. It was founded in 1993, and is headquartered in Newtown, Pennsylvania, USA, with a workforce of 10001+ employees. Its website is https://www.epam.com.Company H1B SponsorshipEPAM Systems has a track record of offering H1B sponsorships, with 11 in 2026, 120 in 2025, 172 in 2024, 232 in 2023, 373 in 2022, 359 in 2021, 502 in 2020. Please note that this does not guarantee sponsorship for this specific role.