Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Design and implement AI and machine learning solutions to generate business insights and support client innovation. Build and maintain scalable data pipelines, work with complex data sets, and develop and deploy predictive models. Collaborate with cross-functional teams to deliver scalable, data-driven solutions with measurable impact.

Responsibilities

• Design and implement AI and machine learning solutions across the full lifecycle, from problem definition to deployment, aligning with business objectives.
• Design, build, and optimize data pipelines and ETL workflows for reliable, production-grade data availability for analytics and ML.
• Develop advanced machine learning models, predictive analytics, and AI-driven approaches for complex business challenges.
• Collaborate with cross-functional teams to integrate AI capabilities into digital products and services.
• Evaluate and apply emerging AI technologies and methodologies to deliver innovative data science solutions.
• Ensure adherence to best practices in data governance, model deployment, and AI ethics for responsible and compliant AI adoption.
• Engage with stakeholders to communicate AI and machine learning value, enabling informed, data-driven decision-making.
• Support and mentor team members, fostering knowledge sharing and continuous learning.

Requirements

• Strong professional experience in AI, machine learning, and data engineering, with a proven track record of delivering AI-driven solutions.
• Expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and cloud-based AI platforms (AWS, GCP, Azure).
• Experience developing and deploying AI models, including natural language processing (NLP), computer vision, and deep learning.
• Solid understanding of MLOps practices, including model deployment, monitoring, lifecycle management, and AI governance frameworks.
• Strong knowledge of AI ethics, fairness, and interpretability for responsible and compliant AI implementation.
• Excellent analytical and stakeholder management skills, with effective communication across business and technical audiences.
• Proficiency in German and English at a business fluent level (C1/C2).
• Advanced academic degree (e.g., Master’s or PhD) in computer science, engineering, or a related field.
• Strong understanding of data engineering concepts, including data pipelines and big data technologies (Spark, Hadoop, SQL, NoSQL).
• Experience in AI-driven product development and digital transformation initiatives.
• Relevant certifications in AI, machine learning, or cloud computing (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer).

Skills

• AI
• Machine learning
• Data engineering
• TensorFlow
• PyTorch
• scikit-learn
• AWS
• GCP
• Azure
• Natural Language Processing (NLP)
• Computer Vision
• Deep learning
• MLOps
• AI governance
• AI ethics
• Fairness (AI)
• Interpretability (AI)
• Analytical skills
• Stakeholder management
• Communication skills
• German (C1/C2)
• English (C1/C2)
• Data pipelines
• Big data technologies
• Spark
• Hadoop
• SQL
• NoSQL
• AI-driven product development
• Digital transformation

Experience Level

• Strong professional experience in AI, machine learning, and data engineering

Education Level

• Advanced academic degree (e.g., Master’s or PhD) in computer science, engineering, or a related field

Benefits

• Inclusive workplace promoting diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

About the Company

• Publicis Sapient is a digital transformation partner helping established organizations achieve their digitally enabled future.
• Unlocks value through a start-up mindset and modern methods, fusing strategy, consulting, customer experience with agile engineering and problem-solving creativity.
• 20,000+ people in 53 offices globally, united by core values and purpose of helping people thrive in the brave pursuit of next.
• Combines experience across technology, data sciences, consulting, and customer obsession to accelerate client businesses through designing valuable products and services.

Equal Opportunity

• Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.
• Committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in job application procedures.