Job Description

Key Responsibilities:

• Lead the design and implementation of scalable Data & AI solutions aligned with business goals.

• Guide the technical direction of data science and machine learning projects from prototyping to production.

• Collaborate closely with data engineers, data scientists, analysts, and business stakeholders to identify and prioritize AI use cases.

• Drive adoption of MLOps practices for robust and reproducible model deployment and monitoring.

• Ensure data quality, governance, and security standards are embedded into all AI and data initiatives.

• Continuously evaluate and integrate emerging AI/ML technologies and industry best practices.

• Mentor and support technical team members, fostering a culture of innovation and continuous learning.

• Contribute to architectural decisions and strategic planning within the broader Data & AI ecosystem.

Required Qualifications:

• BSc or MSc degree in Computer Engineering, Artificial Intelligence, Data Science or a related field.

• 7+ years of experience in delivering end-to-end data and AI solutions.

• Strong expertise in Python, with practical experience in machine learning libraries such as TensorFlow, PyTorch, Scikit-learn.

• Proven experience in designing and deploying ML models in production using MLOps frameworks and tools (e.g., MLflow, SageMaker, Vertex AI, Azure ML).

• Hands-on experience with cloud platforms, particularly AWS, Azure, or GCP (e.g., Glue, EMR, SageMaker, Azure ML).

• Strong knowledge of data engineering principles and experience collaborating with data engineering teams.

• Experience with CI/CD pipelines, infrastructure-as-code tools like Terraform, and containerization with Docker/Kubernetes.

• Solid understanding of data privacy, model explainability, fairness, and governance in AI systems.

• Excellent problem-solving skills and a strong understanding of software design and system architecture.

• Experience in Agile methodologies and leading cross-functional technical teams.

• Fluent in English.

• German is a plus.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.