Machine Learning Operations Specialist
Vor 2 Tagen
Machine Learning Operations Specialist
We are seeking an experienced Machine Learning Operations Specialist to join our Advanced Analytics & AI team at RBI group. As a Machine Learning Operations Specialist, you will be responsible for designing and implementing machine learning models with a focus on operational deployment and scalability.
Your Key Responsibilities
- Design and implement machine learning models with a focus on operational deployment and scalability.
- Work within the Databricks platform to create robust data pipelines and machine learning workflows.
- Utilize containerization technologies such as Docker and Kubernetes for model deployment and management.
- Integrate and adapt Large Language Models and Generative AI tools to enhance operational processes.
- Collaborate with cross-functional teams to understand operational needs and deliver data-driven solutions.
- Monitor, analyze, and operate machine learning models in production.
Your Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
- Minimum of 3 years of experience in machine learning engineering with a focus on operations.
- Proficiency in Python and experience with Databricks.
- Strong analytical and problem-solving skills.
- Excellent communication skills with the ability to convey complex concepts to non-technical stakeholders.
What We Offer
- Flexible working hours and extensive hybrid working possibilities.
- Meaningful career options to develop personally and professionally.
- Learning opportunities as part of our DNA and culture.
- Easy moving with work permit support.
- Easy commuting with a free public transport pass.
- Canteen with healthy, tasty, and heavily subsidized meals.
- Leisure time activities with attractive sports and cultural offers.
- Saving opportunities with various vouchers and discounts.
- Family-friendly environment with gender-neutral parental leave.
- Salary starting at EUR 60,000 gross p.a., including overtime.
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