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 is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.

#LI-DNI

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 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 and O'ReillyFree
  • English classes with certified teachers
• We cover it all:
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)