Job
In this role, you will develop robust AI software solutions, build predictive models, and lead impactful projects to enhance efficiency in businesses while implementing state-of-the-art technologies and MLOps standards.
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Your role in the team
- We are looking for an experienced AI Engineer to join our growing team and help design and deploy robust AI software solutions for our clients.
- You will lead and deliver high-impact AI projects in collaboration with renowned clients in the European industry.
- You will work hands-on with multimodal datasets, build predictive models, and develop AI-driven products to support operations and drive efficiencies across business units.
- Your role will combine hands-on technical experience with scientific curiosity and business relevance: from extracting insights from client interactions to building robust AI architectures that incorporate state-of-the-art technology and best practices to deliver solutions for clients.
- Develop scalable AI-driven software solutions and design end-to-end systems that integrate seamlessly with enterprise data and cloud infrastructure.
- Establish MLOps standards and reusable pipelines, ensuring clean, maintainable code for model training, deployment, and monitoring.
- Translate complex business requirements into technical blueprints, bridging the gap between data science exploration and production engineering.
- Advise stakeholders on technical strategy, clearly communicating architectural trade-offs regarding cost, latency, and performance.
Our expectations of you
Qualifications
- Deep architectural expertise across multiple AI domains—specifically Generative AI, Computer Vision, and complex predictive modeling.
- Advanced proficiency in Python and modern AI frameworks (PyTorch, TensorFlow), with a strong command of software design patterns, microservices architecture, and API design.
- Expertise in designing robust MLOps ecosystems, including defining standards for CI/CD, model governance, security compliance, and infrastructure orchestration on cloud platforms (AWS, GCP, Azure).
- Expert at balancing critical architectural tradeoffs, including inference latency, scalability, data privacy, and total cost of ownership.
Experience
- Master's in Computer Science, Data Science, Machine Learning, or a related field, with experience designing enterprise-scale AI solutions.
- Ability to define and execute technical roadmaps, combined with experience mentoring engineering teams, conducting code and design reviews, and upholding engineering excellence.
What we offer
- The opportunity to drive leading technology solutions in real-world applications.
- A high-impact, client-facing role with real responsibility and room for initiative.
- A collaborative and dynamic work environment that values vision and impact.
- Opportunity to actively contribute to the growth of a young company.
- Flexible working hours and hybrid work models.
Topics you will work on
Job locations
About your employer
Battery Sphere GmbH, located in Großaitingen and Munich, is an advanced company focused on developing solutions to optimize research and development in the field of energy storage. It combines expertise in battery technology with AI and data analytics to enhance the engineering process from development to validation.
- Startup
- Onsite, Hybrid
- Power Sector, Economy
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