MLOps Engineer (all genders) für Karlsruhe, Baden gesucht

Arbeits- und Stellenangebot im Regiobizz Arbeitsmarkt

Job Kategorie: Telekommunikation (Software, Hardware und Dienstleistungen) Informationstechnologie (IT)

Stellenangebot Basisdaten

Arbeitsort:: DE 76135 Karlsruhe, Baden
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 13.11.20242024-11-13

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Stellenausschreibung: MLOps Engineer (all genders)

Arbeitgeber bzw. Arbeitsvermittler: understandAI GmbH in Hamburg

Branche: Telekommunikation (Software, Hardware und Dienstleistungen)

Kategorie: Informationstechnologie (IT)

Stellenbeschreibung: Keywords MLOps | Cloud | Kubernetes The role As a MLOps-engineer at UAI, you enable the machine learning engineers to build, operate and ship models and to manage data in an efficient way. Having teams that are responsible for a product end to end, you will work in a team of machine learning engineers and collaborate closely with our DevOps experts across teams. The role is a blend of system and software engineering where coding and automation are essential. Furthermore you can drive the implementation of particular solutions and distribute your knowledge to the other team-members. You embody the philosophies of DevOps with a greater focus on measuring and achieving reliability through engineering and operations work. Your tasks Build and maintain the next generation of our ML infrastructure catering for... Model development Data management Model operation and management and monitoring Cost transparency Provide developer friendly tools to enable ML engineers Drive the implementation together with ML engineers Collaborate closely with our DevOps experts Promote MLOps mindset in the team Constantly evaluate state of the art MLOps solutions for our use case Identify automation opportunities to gain efficiency, reliability, and scalability What will you need to be successful? Experience with MLOps tools Strong experience with at least one cloud provider – we are using Google Cloud Experience with Kubernetes At least basic understanding of machine learning Solid experience in one high-level language, e.g. Python, JavaScript, Java, or similar Large-scale system design exposure, in-depth understanding of UNIX/Linux, network technology, and security practices Ability to lead initiatives and motivate people Enjoy working in a team and actively communicating with your colleagues Education, job experience, and special requirements University degree in Computer Science (or related) or a proven track record as a MLOps expert Good communication skills in English both verbal and written What we offer A crucial role in a dynamic and fast-growing team A work environment that fosters trust, respect, and feedback An onboarding buddy to integrate you smoothly into our team Productivity and improvement time between the development sprints A mentor helping you with your personal goals, technical progress in general and your software engineering skills in particular Free snacks, drinks, and the option to join activities like hiking, inline-skating, climbing or board game nights Competitive salary, flexible working hours, work from home Overview of our tech stack Google Cloud, Kubernetes, Terraform, ArgoCD, Docker, Python, Typescript

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: understandAI GmbH
Am Strandkai 1
De 20457 Hamburg

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