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
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- 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:
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Five trust days per year (sick leave without a medical certificate)
- Benefits package (sports activities, a variety of stores and services)
- EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, customers, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow