Develop robust solutions to real-world, large-scale problems directly impacting EPAM's business
Requirements
- Ability to write robust, maintainable and extendable code in Python
- Expertise in applied data science methods and machine learning algorithms
- Data wrangling experience with structured and unstructured data
- Experience with cloud architecture and technologies (preferably Amazon Web Services, Kubernetes and Docker)
- Competency in Amazon SageMaker
Responsibilities
- Develop and implement scalable applications with predictive models and optimization algorithms
- Analyze large datasets and deliver data-driven decisions
- Contribute to core advanced analytics and ML platforms to enable both prediction and optimization model development
- Collaborate with the international AAML team
- Translate business requirements into technical solutions
Other
- 2+ years of relevant professional background
- Strong communication skills
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Leadership development, career advising, soft skills and well-being programs
