Are you a Senior Machine Learning Engineer passionate about making a significant impact in the tech industry?
We are looking for an individual with extensive knowledge of machine learning and a background in data engineering who is eager to develop and deploy innovative models. In this role, you will collaborate with diverse teams to create strategic solutions beyond machine learning. Our workspace fosters innovation and provides a supportive environment for personal and professional growth.
If you excel in solving complex problems and producing impactful outcomes, we invite you to apply and become a part of our team.
Unlock the potential of remote work in Kyrgyzstan, giving you the flexibility to work from home or access our office in Bishkek.

• Convert machine learning models and algorithm prototypes into production-ready optimized ML pipelines
• Enhance ML pipeline design and development, including validation and cold start problems, A/B tests, feedback loop, etc
• Maintain and develop steps in ML pipelines
• Refine and adjust ML models and ML pipelines to meet production environment requirements
• Automate critical components of CI/CD pipelines for ML pipelines
• Work closely with data scientists to refine and optimize models
• Draft specifications, documentation, and user guides for developed solutions
• Incorporate ML models into existing software solutions or develop new applications
• Assign tasks to junior ML engineers and ensure completion
• Elevate coding standards, facilitate code reviews, and establish best practices for model management

• 5 years of production experience in an MLE role
• Successful delivery of at least one project to production in an MLE role
• Expertise in engineering best practices
• Solid understanding of Machine Learning fundamentals
• Production background in incorporating ML models into complex data-driven systems
• Skills in the Python ML ecosystem
• Proficiency in at least one major Cloud Provider, including AWS, GCP, or Azure
• Production experience with a technology related to MLOps, such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow, or TensorFlow Extended

• Familiarity with the Apache Spark Ecosystem
• Qualifications in LLM/GenAI

• 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
• We cover it all::
  • 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
  • Discounts for fitness clubs and sports programs
  • Benefits package (sports activities, a variety of stores and services)