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Senior AI Engineer

Sphere

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MunichAI/MLCybersecurityCloud InfrastructureDevOps
IT
**ABOUT THE POSITION** 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 multi-modal datasets, build predictive models, and develop AI-driven products to support operations and gain efficiencies across business units. Your role will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions to building robust AI architectures which incorporate state-of-art technology and best practices to deliver client solutions. This is more than a job — it’s an opportunity to help shape the future of our company and drive innovation. **ABOUT SPHERE ENERGY** We are a young, dynamic and technology-driven company, committed to developing targeted AI-driven solutions that revolutionize the development of products in the broad field of engineering. ## Tasks **KEY RESPONSIBILITIES** * 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 tradeoffs regarding cost, latency, and performance. ## Requirements **QUALIFICATIONS** * Master’s in Computer Science, Data Science, Machine Learning, or a related field with experience in designing enterprise-scale AI solutions. * Deep architectural expertise across multiple AI domains—specifically within 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). * Ability to define and execute technical roadmaps paired with the experience mentoring engineering teams, conducting code/design reviews, and enforcing engineering excellence. * Expert at balancing critical architectural tradeoffs, including inference latency, scalability, data privacy, and total cost of ownership. ## Benefits **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 a young company’s growth * Flexible working hours and hybrid work models **HOW TO APPLY** If you’re excited to shape the future of battery technology and drive real change with leading industry players, please share your resume and an additional cover letter. Find [Jobs in Germany](https://www.arbeitnow.com/) on Arbeitnow
Source: arbeitnowRecruiter: Rekroot
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Senior AI Engineer at Sphere — HudsonSignals