Senior Machine Learning Engineer Remote

Responsibilities

• Convert machine learning models and algorithm prototypes into production-ready optimized ML pipelines
• Contribute to ML pipeline design and development, including validation and cold start problems, A/B tests, feedback loop, etc
• Create and maintain ML pipeline steps
• Optimize/tune ML models and ML pipelines to meet production environment requirements
• Automate key parts of CI/CD pipelines for ML pipelines
• Collaborate with data scientists to fine-tune and optimize models
• Write specifications, documentation and user guides for developed solutions
• Integrate ML models into existing software systems or create new applications
• Allocate activities to junior ML engineers and bring tasks to closure
• Improve coding practices, support code reviews and introduce best practices for model management

Requirements

• 5 years of production experience working in an MLE role
• At least one project delivered to production in an MLE role
• Expertise in engineering best practices
• Solid knowledge of Machine Learning fundamentals
• Production background in integrating ML models into complex data-driven systems
• Familiarity with the Python ML ecosystem
• Proficiency in at least one major Cloud Provider such as AWS, GCP and Azure
• Production experience with one of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow or TensorFlow Extended

Nice to have

• Competency in the Apache Spark Ecosystem
• Expertise in LLM/GenAI

We offer

• 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)