Lead Machine Learning Engineer

EPAM Systems

  • Алматы
  • Постоянная работа
  • Полная занятость
  • 1 мес. назад
Are you ready to redefine technological innovation as a Lead Machine Learning Engineer?We are looking for a motivated professional with an intense machine learning and data engineering background who is prepared to develop and implement transformative solutions. In this role, you will work alongside diverse teams to engineer strategic solutions beyond traditional machine-learning boundaries. You will have the opportunity to lead groundbreaking projects and accelerate your career. Our workspace encourages innovation, supports professional growth, and celebrates every milestone.If you thrive on solving complex problems and aspire to make a significant impact, we invite you to apply and join us.Mix remote work with in-office engagements by visiting the EPAM office in Almaty or enjoying the comfort of working from home. The choice is yours!ResponsibilitiesLead and contribute to ML pipeline design, development, and operating lifecycle based on best practicesDevelop and deploy complex AI/ML solutions on cloud infrastructure using ML engineering and MLOps workflows and tools capable of scaling in response to evolving business and technical needsCreate infrastructure and architecture diagramsCollaborate with data scientists and engineering team to optimize ML pipeline performanceAllocate tasks to junior ML engineers and ensure task completionImprove coding practices, support code reviews and introduce best practices for model managementProvide thought leadership in terms of new technologies and tools, suggest improvementsSupport the interview process to hire junior and senior ML engineersRequirementsProduction experience in AI/ML engineering and leadershipProficiency in machine learning model developmentUnderstanding of best practices in software engineering, data management, testing and deploymentExpertise in building scalable, reliable and maintainable ML systemsStrong communication and interpersonal skills to liaise with senior business stakeholders, clients and team membersAbility to work in a fast-paced, deadline-driven environment, mentor junior team members and provide technical leadershipStrong knowledge of Python developmentFamiliarity with cloud-native services: GCP, AWS, AzureProduction experience with some of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, TensorFlow ExtendedNice to haveCompetency in the Apache Spark EcosystemExpertise in LLM/GenAIWe offer/BenefitsWe connect like-minded people:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
We invest in your growth:
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Get Abstract
  • Free English classes with certified teachers
  • Discounts in local language schools, including online courses for the Kazakh language
We cover it all:
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Medical & family care package
  • Six trust days per year (sick leave without a medical certificate)
  • Coverage of psychology sessions of your choice
  • Benefits package (sports activities, a variety of stores and services)
EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

EPAM Systems