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.
This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.

#LI-DNI#top-vacancies-10-KZ#LI-DM7

Responsibilities

• 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.)

• 5+ years of production experience in enterprise software development
• 3+ years of production 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)

• 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 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, Get Abstract, O'Reilly
  • 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)