AI Engineer (f/m/d)

Meyandy LLC; Hamburg; Hybrid; EUR 75.000 - 115.000; Vollzeit

Zusammenfassung

Clariness in Hamburg is seeking an AI Engineer (f/m/d) to turn AI and ML ideas into reliable, scalable solutions across our platforms, covering the full lifecycle from problem framing to deployment and monitoring in the clinical-trial space.

You will design, build and operate production ML solutions, develop LLM-powered features (RAG, prompts), deliver end-to-end Databricks workflows, and collaborate with Product, Engineering and Operations to translate business needs into measurable outcomes.

Qualifikationen

• BSc/ MSc in CS/data science/Math or related field, or equivalent practical experience.
• Strong Python and ML framework experience (scikit-learn, PyTorch).
• Experience deploying AI/ML solutions to production and monitoring performance.

Aufgaben

• Design, build and operate production AI/ML solutions, including data pipelines, models, and inference services.
• Develop LLM-powered features using RAG, agent workflows and tool calls.
• Deliver end-to-end ML workflows on Databricks from data prep to deployment.
• Maintain production quality with monitoring, drift detection and versioning.
• Collaborate with product, engineering and operations to translate needs into measurable plans.

Kenntnisse

Python

Machine Learning Engineering

SQL

Cloud platforms (AWS)

CI/CD for ML

LLM patterns (RAG)

Ausbildung

Bachelor's degree in CS/Data Science/Math or related field

Tools

Databricks

Spark

MLflow

Delta Lake

Unity Catalog

Workflows

PyTorch

scikit-learn

Jobbeschreibung

# AI Engineer (f/m/d)ClarinessVia arbeitnowHamburg, DEPubliée il y a 12h## Description du poste**Clariness is looking for an AI Engineer (f/m/d/) based in Germany.****- Full-time; unlimited -****About the role:**This role is about turning AI and machine learning ideas into reliable, scalable solutions for Clariness' platforms. You will join a collaborative technical environment and work across the AI/ML lifecycle, from understanding a business problem and developing a solution to deployment, monitoring and continuous improvement within the regulated clinical-trial space.**As an AI Engineer, you would be responsible for:*** Designing, building and operating production AI and machine learning solutions, including data pipelines, models and inference services.* Developing LLM-powered features using approaches such as retrieval-augmented generation (RAG), agent workflows, tool calling and structured outputs, with a focus on reliability, measurable quality and cost efficiency.* Delivering end-to-end machine learning workflows on Databricks, from data preparation and feature development through training and evaluation to batch and real-time deployment.* Maintaining quality in production through versioning, evaluation, monitoring and drift detection, and supporting the investigation and recovery of solutions when issues arise.* Collaborating with Product, Engineering, Commercial and Operations teams to translate business needs into scoped technical requirements, measurable success criteria and realistic delivery plans, including relevant data and privacy constraints.* Contributing to governance-ready data and AI practices covering quality, lineage, access, security, GDPR and responsible AI, including relevant EU AI Act requirements.* Working with technical and non-technical stakeholders to explain trade-offs and model limitations, gather feedback and help prioritize improvements based on their potential impact.* Reviewing peer contributions, documenting and sharing knowledge, developing reusable components and helping improve our shared libraries and Data & AI platform tooling.**We would like you to have:*** A degree in Computer Science, Data Science, Statistics, Mathematics or a related field, or equivalent practical experience, together with strong English communication skills at C1 level.* 3–5 years of hands-on experience in Machine Learning Engineering, Applied AI, Data Science or a related field, including experience taking at least one AI or machine learning solution from prototype into production.* Strong Python skills and practical experience with machine learning frameworks such as scikit-learn, PyTorch or equivalent technologies, along with solid SQL and warehouse or lakehouse experience.* Hands-on experience with Databricks, including several of the following: Spark, Delta Lake, Unity Catalog, MLflow or Workflows.* Experience evaluating and deploying models beyond the experimentation stage, with an understanding of monitoring, reliability and production quality.* Familiarity with LLM application patterns such as RAG, prompt workflows and evaluation, as well as cloud platforms, ideally AWS, and CI/CD practices for machine learning, or the foundations and motivation to develop further in these areas.* The ability to independently deliver well-defined AI/ML tasks, collaborate with product and business stakeholders and explain technical trade-offs, model behavior and limitations to non-technical audiences.**You may ask now, why should I work for you? Let us give you a few reasons – and you'll learn more during the process.*** A varied and exciting job with a lot of personal responsibility in an international company, where you can develop and expand your skills.* Professional and personal development opportunities - incl. personal development budget.* Flexible working hours and mobile working.* Regular team events and open feedback culture.* A versatile field of activity and challenging projects.* A supportive and open company culture, providing the opportunity to collaborate with a diverse and professional team.* Impact healthcare by accelerating medical innovation through improved access to clinical trials, potentially bringing needed treatments to patients faster.