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.

Responsibilities

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

Requirements

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 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 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 and Get Abstract
- 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)

Immerse yourself in our collaborative culture by working on-site at our well-equipped offices in Yerevan or Gyumri.

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.

EPAM Armenia is a team of 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.