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Lead Machine Learning Engineer Kazakhstan or Remote

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Lead Machine Learning Engineer Description

Job #: 86075

Description


We are looking for a Lead Machine Learning Engineer who will design ML models with continuous training and build frameworks for data scientists. Apply for the vacancy if you are highly competent in creating and deploying production applications and data pipelines.
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What You’ll Do

  • Manage the transition of machine learning algorithms to the production environment and integration with the enterprise ecosystem
  • Design, maintain, and optimize the complete end-to-end machine learning life cycle
  • Design specifications, documentation and user guides
  • Contribute to the improvement of SDLC practices, establish and configure CI/CD/CT processes
  • Provide capabilities for early detection of various drifts (data, concept, schema, etc.)

What You Have

  • 5+ years of experience in enterprise software development
  • 3+ years of background in Machine Learning
  • Qualifications in designing, building and deploying production applications and data pipelines
  • Competency in the development of highly available, largely scalable, ML-driven applications and systems
  • Hands-on expertise in the implementation of SDLC best practices
  • Knowledge of Python development
  • Familiarity with Cloud-native services (GCP, AWS, Azure) and Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)

Nice to have

  • Expertise in MLOps-related platforms/technologies
  • Production experience in integrating ML models into complex data-driven systems/IoT devices/mobile devices
  • Competency in basic software engineering tools (CI/CD environments such as Jenkins or BuildKit, PyPI, Docker, Kubernetes)

We offer

  • Outstanding career development opportunities with a transparent roadmap to accelerate your journey
  • Knowledge sharing within the community of 61,300+ industry’s top professionals worldwide
  • Various opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to 8,000+ LinkedIn Learning courses
  • Free English classes with certified teachers
  • Competitive compensation in USD, regular assessments, and salary reviews
  • Bonuses for participating in the referral program
  • Flexible schedule and opportunity to work remotely from any place in Kazakhstan
  • Friendly team, and enjoyable working environment
  • Relocation opportunities within our offices in 50+ countries with throughout support for you and your family
  • 28 vacation days and 6 trust days per year (sick leave without a medical certificate)
  • Medical & family care programs, corporate and social events

About EPAM

  • EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today we operate across all cities with offices in Nur-Sultan, Almaty, and Karaganda and work with the world's leading companies from different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, customer collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities

A day in the life

SALMAN TALAT
Account Manager
Toronto, Canada

IRYNA KOVALENKO
Delivery Manager
Kyiv, Ukraine

JAN MAZUREK 
Senior Business Analyst
Gdansk, Poland

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