Senior Machine Learning Engineer Remote in Armenia

What You’ll Do

• 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

What You Have

• 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
• 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
• 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 home 
  • Opportunity to work abroad for up to two months per year 
  • Relocation opportunities within our offices in 50+ 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, Cloud Guru 
  • Free 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)

About EPAM

• EPAM Armenia is a team of 900+ talented innovators united by a passion for technology. In 2014, we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunities