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 in USD, regular assessments, and salary reviews Bonuses for participating in the referral program Flexible schedule and opportunity to work remotely from any place in Kazakhstan Friendly team and enjoyable working environment Relocation opportunities within our offices in 50+ countries with throughout support for you and your family 28 vacation days and six trust days per year (sick leave without a medical certificate) Medical & family care programs, corporate and social events About EPAM EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from 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