Job Overview
We are seeking a talented Middle Data Scientist with a strong background in classical Machine Learning, eager to explore new technologies such as NLP (Natural Language Processing), Computer Vision, Time Series, MLE/MLOps, and Recommendation Systems. This role offers the opportunity to work on a variety of projects, providing AI/ML-driven solutions to our clients.
Responsibilities
- Collaborate with EPAM's clients and internal teams to implement AI/ML-driven solutions.
- Work closely with cross-functional teams to deliver business value to our clients.
- Stay updated with the latest advancements in Data Science and Artificial Intelligence.
Qualifications
- At least 3+ years of production experience in Data Science / Machine Learning.
- Proficiency in Python ecosystem and data science libraries (pandas, sklearn, NumPy).
- Novice or intermediate knowledge of at least one domain from the list: Natural Language Processing, Machine Learning Engineering, Computer Vision, Time Series, Recommendation Systems.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- B2+ English, both verbal and written.
Nice to Have
- Familiarity with at least one Cloud provider (AWS, GCP, Azure).
- Expertise in Deep Learning.
- Willingness to learn new technological stacks.
We Offer
- Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
- Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
- World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
- Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
- GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
- Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
- Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
- Other Benefits: 2500-4000 EUR gross, based on interview results, additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.
Benefits Extracted with AI
- Flexible work location
- Private health insurance
- Employee Stock Purchase Plan
- Additional vacation and trust days
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