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 What You Have

　　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 Outstanding career development opportunities with a transparent roadmap to accelerate your journey Knowledge sharing within the community of the industry's top professionals worldwide Various opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to 8,000+ LinkedIn Learning courses Free English classes with certified teachers Competitive compensation, regular assessments, and salary reviews Participation in the Employee Stock Purchase Plan Flexible working schedule Friendly team and enjoyable working environment Bonuses for participating in the referral program Relocation opportunities within our offices in 50+ countries Social package - medical & family care Five trust days a year (sick leave without a medical certificate) About EPAM 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