Auf einen Blick
- Aufgaben: Lead the design and implementation of cutting-edge ML/AI solutions for diverse clients.
- Arbeitgeber: Join a top digital transformation service provider expanding its Data Practice across Europe.
- Mitarbeitervorteile: Enjoy 30 days of vacation, a pension scheme, stock purchase plan, and extensive learning opportunities.
- Warum dieser Job: Be at the forefront of technology, collaborating with global teams and influencing major business decisions.
- Gewünschte Qualifikationen: Strong experience in ML/AI, excellent communication skills, and proficiency in Python required.
- Andere Informationen: Fluent German and English essential; ideal for those passionate about driving innovation.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
As one of the world’s 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 Principal Data & AI Consultant 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 in 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 analyze 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
- 30 days holiday per annum.
- Company pension scheme.
- EPAM Employee Stock Purchase Plan (ESPP).
- bitkom – Corporate Benefits.
- Regular corporate and social events.
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more.
- *All benefits and perks are subject to certain eligibility requirements.
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Principal Data & AI Consultant (Director level) (m/f/d) Arbeitgeber: EPAM

Kontaktperson:
EPAM HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Principal Data & AI Consultant (Director level) (m/f/d)
✨Tip Number 1
Make sure to showcase your technical leadership experience in ML and AI during networking events or industry conferences. Engaging with peers and potential clients can help you establish valuable connections that may lead to job opportunities.
✨Tip Number 2
Stay updated on the latest advancements in ML and AI by following relevant blogs, attending webinars, and participating in online forums. This knowledge will not only enhance your expertise but also demonstrate your commitment to the field during interviews.
✨Tip Number 3
Leverage your existing network to reach out to decision-makers in companies you're interested in. A personal introduction can significantly increase your chances of landing an interview for the Principal Data & AI Consultant position.
✨Tip Number 4
Prepare to discuss specific ML/AI projects you've led or contributed to, focusing on the impact these projects had on business outcomes. Being able to articulate your success stories will set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Principal Data & AI Consultant (Director level) (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your experience in ML and AI, as well as your leadership skills.
Highlight Relevant Experience: In your CV and cover letter, emphasize your previous roles in Data & Analytics, particularly any experience with ML/AI solutions. Provide specific examples of projects you've led or contributed to that demonstrate your technical expertise and ability to engage with clients.
Showcase Communication Skills: Since the role requires strong communication skills, ensure your application reflects your ability to explain complex concepts clearly. Use your cover letter to illustrate how you've successfully communicated with both technical and non-technical stakeholders in past roles.
Tailor Your Application: Customize your CV and cover letter for this specific position. Use keywords from the job description, such as 'technical leadership', 'ML algorithms', and 'client engagement', to make your application stand out to recruiters.
Wie du dich auf ein Vorstellungsgespräch bei EPAM vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with various ML and AI architectures, such as CNNs, RNNs, and Transformers. Highlight specific projects where you successfully implemented these technologies, demonstrating your ability to lead technical discussions.
✨Engage with Client Scenarios
During the interview, expect to engage in discussions about client challenges. Practice articulating how ML/AI solutions can address specific business needs, showcasing your understanding of both technical and business perspectives.
✨Demonstrate Strong Communication Skills
Since this role involves engaging with senior stakeholders, practice explaining complex technical concepts in simple terms. Be ready to provide examples of how you've effectively communicated with both technical and non-technical audiences in past roles.
✨Stay Updated on Industry Trends
Show your passion for the field by discussing recent advancements in ML and AI. Prepare to share insights on emerging technologies and methodologies that could benefit potential clients, demonstrating your proactive approach to staying informed.