Senior Data Scientist / Machine Learning Engineer with AWS

We are searching for a skilled Senior Data Scientist / Machine Learning Engineer to join our team, with a focus on finance-related machine learning processes.

Our candidate should have experience in data science, machine learning, MLOps and data engineering, enabling them to handle data at all stages of development.

What You'll Do

• Collaborate with cross-functional teams to ensure successful implementation and maintenance of ML models
• Conduct research and experiments with diverse data sets to enhance ML models' performance
• Manage complex data workflows and develop domain expertise
• Contribute to the improvement of end-to-end development processes and pipelines, from data collection to production deployment, including CI/CD processes
• Stay updated with emerging technologies and industry trends in data science and AI
• Support and mentor junior members of the team, fostering knowledge-sharing and growth

• 4+ years of experience in data science, machine learning and MLOps
• Ability to conduct research and experiments to improve the performance of AI/ML models
• Hands-on project lifecycle experience, from business analysis to productization
• Strong proficiency in Python development, version control (preferably Git) anddatabases with SQL (e.g., MS SQL, Snowflake)
• Proficiency in AWS cloud platform (e.g., SageMaker, Step Functions, Glue, Lambda, SQS, ECS, S3, ECR, CloudWatch, IAM, MWAA)
• Solid grasp of containers and orchestration tools (e.g., Docker, CI/CD)
• English level: upper-intermediate or higher

• 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:
  • Monetary bonuses for engaging in the referral program
  • Comprehensive 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 (hotels, bookstores, food delivery)

• EPAM Kyrgyzstan is a team of technologists and innovators united by a passion for technology. In 2022, we opened our first office in Bishkek that works with the world's leading companies across many different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, customer collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities