Mlops engineer Jobs in Schriesheim

For our Department Digital-Technology , we are looking for a Manager Advanced Analytics & MLOps (f / m / d) . The role is based at our Headquarters in Heidelberg , Germany, and reports to the position Head of Data & AI.

In our Data & AI Team, we seamlessly blend classical data analytics with cutting-edge methodologies like GenAI to craft innovative solutions. The Manager Advanced Analytics and MLOps will lead a team of Data Scientists dedicated to pushing the boundaries of data science and operationalizing machine learning models.

The Data Scientists are currently driving impactful projects such as Cement Strength Prediction, Predictive Maintenance, and a computer vision project for Biodiversity KPIs. Alongside the Advanced Analytics and MLOps team, we have a GenAI Team, a Hyperautomation team, and two Data Analytics teams, each contributing uniquely to our dynamic environment. If you're enthusiastic about leveraging data science and machine learning to achieve transformative business outcomes, we invite you to join us on our exhilarating journey towards innovation and excellence. You will be part of a diverse and international team hat values gender equity and welcomes individuals from all backgrounds and identities

YOUR NEXT CHALLENGE

Lead and mentor a team of skilled Data Scientists and one Data Engineer who work in cross functional teams contributing to our strategic pillars such as HProduce, ESG, and AI.

Empower team to deliver high-quality solutions that push the boundaries of innovation

Provide a vision to your team about how to bring machine learning models at scale to production

Define standards and tools for your area of responsibility, so that your team can focus on business value creation

Define and uphold best practices for MLOps processes, ensuring robust version control, reproducibility, and seamless integration of new technologies.

Ensure great alignment within the Data & AI team and key stakeholders around

Drive use cases with high business value and enable the impact measurement

YOUR PROFILE

MINT University degree or equivalent experience

Domain knowledge of the cement industry would be advantageous

Experience in working with Databricks or similar solutions would be a plus

4+ years of practical experience in Data Science

Proven analytical and problem-solving skills

Experience with agile methodologies

Willingness to learn new technologies

Solid experience in tools like Python, Docker, Kubernetes, and Apache Spark.

Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

Willingness to travel

OUR OFFER

We are convinced that only those who successfully realize their personal goals can also fully contribute professionally. That's why we offer you attractive benefits, such as :

Flexible working time models with up to 50% remote working within Germany

30 vacation days plus additional special vacation days

Attractive compensation with profit share / bonus , Christmas, and vacation payment

Multiple learning & development options : support of job-related further training, various technical and leadership development programs

JobTicket, JobBike and further special conditions and discounts for e.g., gyms

Company fitness room , various sports classes, health, and prevention campaigns

Individual onboarding with buddy program as well as various networking initiatives (Network of Women, International Network etc.)

Modern headquarters next to the river Neckar with ergonomic workplaces and height-adjustable desks

Canteen with discounted and healthy meals

Bicycle and underground parking with charging stations – for e-bike and car

• and much more.