Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI) (m/f/d)
- Employer
- EPAM
- Location
- Stuttgart, Germany
- Salary
- Competitive
- Closing date
- 5 Aug 2024
View more categoriesView less categories
- Sector
- Engineering, IT, Security
- Job Role
- AI
- Job Type
- Permanent
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ABOUT THE ROLE
As one of the worlds leading digital transformation service providers, we are looking to actively expand our Data Practice across Europe to meet increasing client demand for our services. We are looking for a Director of Data Analytics in Germany with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI). The role is a senior level position and offers an exciting opportunity to work with leading-edge technologies, deliver ML/AI-driven solutions and play a highly visible role partnering closely with multiple clients and our Data leadership teams globally.
Responsibilities
Requirements
Our Benefits Include
About EPAM
Why Join EPAM
As one of the worlds leading digital transformation service providers, we are looking to actively expand our Data Practice across Europe to meet increasing client demand for our services. We are looking for a Director of Data Analytics in Germany with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI). The role is a senior level position and offers an exciting opportunity to work with leading-edge technologies, deliver ML/AI-driven solutions and play a highly visible role partnering closely with multiple clients and our Data leadership teams globally.
Responsibilities
- Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development and implementation of ML/AI solutions for clients
- Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
- Collaborate with cross-functional teams to define project scope, develop datasets and apply appropriate ML algorithms to deliver high-quality solutions
- Lead the identification of new ML/AI opportunities, either through selling solutions or securing funding, by leveraging your technical expertise and engaging senior decision-makers
- Shape ML solutions and properly scope / price engagements, establishing optimal operating models and project team organisation, and leading the transition from the sales process to the delivery phase
- Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication and timely issue resolution
- Engage client stakeholders at the executive / C-level, helping them drive enterprise-wide agenda to maximize growth
- Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
- Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations
Requirements
- Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions
- Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models etc
- Solid understanding of ML algorithms, both classical and Deep Learning based
- Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships
- Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow
- Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions
- Fluent German and English is essential
- Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience
Our Benefits Include
- 30 days holiday per annum
- Company Pension Scheme
- Competitive compensation depending on experience and skills
- Regular performance assessments
- bitkom - Corporate Benefits
- EPAM Employee Stock Purchase Plan (ESPP)
- Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
- Friendly and enjoyable working team
- Regular corporate and social events
- Flexible and remote working opportunities
- Certain benefits and perks may be subject to eligibility requirements
About EPAM
- EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
Why Join EPAM
- Work across markets and verticals and gain exposure to a great variety of projects and cutting-edge technologies
- Become part of a global community of well-connected experts across 50+ countries: enjoy a career without borders within an international environment
- Carve your career path: as the Fastest-Growing IT Services Company in the Fortune 100 List, EPAM is committed to help you discover your fullest potential by creating career plans that best suit you and your future plans
- EPAM Germany was named a Top Company 2022, 2023 & 2024 by Kununu for its people centric culture built on life-long learning
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