Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast paced entrepreneurial engineering environment and take ownership for critical technical and business decisions that directly impact EPAM and our clients?
As one of the world’s leading digital transformation service providers, we are looking to aggressively expand our Data Practice across Europe to meet increasing client demand for our services. We are looking for people at Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).
The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI driven solutions, play a highly visible leading role in the organisation whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.
We offer a flexible work set-up with face to face client meetings from time to time.
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 RFP’s, 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
WE OFFER
EPAM Employee Stock Purchase Plan (ESPP)
30 days holiday per annum
Company Pension Scheme
Competitive compensation depending on experience and skills
Regular performance assessments
Opportunities for personal and professional growth
Unlimited access to LinkedIn learning solutions
Friendly and enjoyable working team
Relocation package support
Regular corporate and social events
Flexible and remote working opportunities
All benefits and perks are subject to specific 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 potentialWHY 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 59.000+ well-connected experts across 50+ countries: enjoy a career without borders within an international environment and relocation opportunities
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
EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.