Job
- Level
- Experienced
- Location
- Cologne, Frankfurt
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 65.000 to 75.000€ gross/year
Job Summary
In this role, you will take responsibility for consulting and implementing data analysis and AI projects, developing efficient MLOps processes from analysis through to the deployment of production solutions.
Job Technologies
Your role in the team
- You represent us in the consulting and implementation projects of our clients and demonstrate the potential of Data Science and AI to stakeholders.
- You collaboratively shape the path with clients and the team from the initial question through data analysis and system design to the deployment of the production solution.
- You establish modern MLOps processes with automated pipelines, including model and prompt versioning.
- You identify relevant data references and prepare them for further analysis, with your work only concluding once tested, operationally viable models are in place.
- You actively contribute to the team, e.g., through code reviews, introducing new tools, or sharing exciting professional insights.
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Our expectations of you
Education
- You combine a deep theoretical understanding of complex AI and ML concepts, e.g., through a master's or diploma degree, with a few years of practical experience in Data Science, Machine Learning, or AI Engineering.
Qualifications
- Python including common libraries (especially PyTorch, scikit-learn, pandas, NumPy), SQL, as well as working with relational and modern data storage solutions, are part of your daily toolkit.
- Whether classic Machine Learning or Deep Learning – you know which tool fits best.
- You not only know how to train models but also how to make them available to users, e.g., with FastAPI or similar frameworks.
- GenAI is not new territory for you: You are already familiar with RAG architectures, LLM APIs (OpenAI, Azure OpenAI, etc.), or Vector Databases from practical experience.
- German flows fluently (C1) off your lips.
Experience
- Cloud or On-Premise? If you're already familiar with Azure or AWS and have some initial experience with containerization and maybe even Kubernetes, all the better!
- A plus but not a must: You already have experience in a consulting context and are familiar with MLOps tooling, e.g., MLflow, Weights & Biases, CI/CD pipelines for ML workflows, or model monitoring.
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What we offer
- An open-minded team that makes it easy for you to get started in the world of Cologne Intelligence.
- The principle that your time is valuable to us: We work reasonable hours, meetups are considered working time, and with a sabbatical, you can take a break if needed.
- Much remote flexibility instead of the traditional consulting life on the road: work from home or in our offices in Cologne or Frankfurt with occasional assignments nationwide.
- Our belief that your thirst for knowledge should be satisfied! Therefore, we give you full flexibility with a freely allocable training budget for your personal development. And you'll also receive a Udemy Business account as a bonus!
- Modern equipment with free choice between macOS, Windows, and Ubuntu.
- Great events with your colleagues: hackathons, Open Fridays, sports events, and our Social Day.
- The opportunity to actively shape the company as a member of our CI One Employee Cooperative.
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Benefits
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About Your Employer
Cologne Intelligence GmbH
At Cologne Intelligence, we help companies prepare for the digital future. With over 150 CI employees, we provide agile, personal, and results-oriented support for our customers - from initial strategic planning all the way to implementing IT applications. We have the experience and expertise to help your business succeed in the digital age. Contact us today to learn more about how we can help you digitize your business.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication