Lead Machine Learning Engineer Remote

Responsibilities

• Lead and contribute to ML pipeline design, development, and operating lifecycle based on best practices
• Develop 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 needs
• Create infrastructure and architecture diagrams
• Collaborate with data scientists and engineering team to optimize ML pipeline performance
• Allocate tasks to junior ML engineers and ensure task completion
• Improve coding practices, support code reviews and introduce best practices for model management
• Provide thought leadership in terms of new technologies and tools, suggest improvements
• Support the interview process to hire junior and senior ML engineers

Requirements

• Production experience in AI/ML engineering and leadership
• Proficiency in machine learning model development
• Understanding of best practices in software engineering, data management, testing and deployment
• Expertise in building scalable, reliable and maintainable ML systems
• Strong communication and interpersonal skills to liaise with senior business stakeholders, clients and team members
• Ability to work in a fast-paced, deadline-driven environment, mentor junior team members and provide technical leadership
• Strong knowledge of Python development
• Familiarity with cloud-native services: GCP, AWS, Azure
• Production 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 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)