AI/ML Engineer

Job not on LinkedIn

🕒 December 19, 2025

🗣️🇩🇪 German Required

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Logo of workidentity GmbH

workidentity GmbH

11 - 50 employees

👥 HR Tech

🎯 Recruiter

🤝 B2B

HR Tech • Recruitment • B2B

workidentity GmbH is a Hamburg-based consultancy specializing in HR services and recruitment, particularly within the Tech and IT sectors. They offer a range of services including personnel consulting, executive search, interim and freelance mandates, and recruiting-as-a-service. With a team of HR and recruiting experts, workidentity provides comprehensive support to both companies seeking qualified IT professionals and candidates looking for career development opportunities. Their personalized approach focuses on matching the best candidates with roles in various industries, with a strong emphasis on technology and digital environments. The company is known for its efficient recruitment processes and high level of candidate satisfaction.

📋 Description

• Design, develop and operate scalable AI/ML models and pipelines • Translate business and product requirements into robust technical solutions • Develop processes for data preprocessing, feature engineering and model training • Integrate AI models into existing software systems and platforms • Conduct experiments and evaluate performance, quality and stability • Take responsibility for the entire ML lifecycle: data → training → deployment → monitoring • Write clean, maintainable and well-documented code • Work closely with software engineers, product teams and other stakeholders • Actively engage with new developments in AI, machine learning and applied research

🎯 Requirements

• Degree in Computer Science, Artificial Intelligence, Machine Learning or a comparable technical background • Proven experience as an AI Engineer / Machine Learning Engineer • Excellent programming skills in Python • Practical experience with common ML and data libraries (NumPy, Pandas, Scikit-learn) • Experience with deep learning frameworks such as TensorFlow or PyTorch • Solid understanding of machine learning algorithms and software engineering principles • Experience with cloud platforms (AWS, GCP, or similar) • Strong analytical skills, problem-solving ability and technical depth • Clear communication skills and ability to work in a team

🏖️ Benefits

• AI is strategic and production-critical, not experimental • Work on real, complex problems with tangible impact • Ownership from the idea through to live operation • Join a team that values excellence, curiosity and personal accountability • Flat hierarchies, fast decision-making and clear technical standards • Competitive salary plus employee equity/participation

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