Senior MLOps Engineer (f/m/div.)
Aufgaben
Your contribution to something big:
MLOps Strategy & Architecture:
Collaborate on the MLOps strategy for our hybrid cloud environment, ensuring alignment with business objectives, security requirements, and best practices
Collaborate on the technical design of a MLOps platform that provides a self-service approach to the MLOps loop problems, such as data ingestion, feature engineering, model training, model validation, model deployment, model monitoring
Evaluate and select appropriate MLOps tools and technologies
Develop and maintain comprehensive documentation for MLOps processes and infrastructure
Hybrid ML-loop Implementation:
Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud and on-premises resources using Terraform
Implement robust security measures to protect sensitive Data and ML models in both cloud and on-premises environments
Implement and/or integrate tools to deliver the full MLOps loop
Develop and implement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues
Collaboration & Leadership:
Work closely with data scientists, software engineers, and infrastructure teams to deliver a high-quality MLOps solution
Provide technical leadership and mentorship to junior engineers
Communicate effectively with stakeholders at all levels, including technical and non-technical audiences
Stay up to date with the latest MLOps trends and technologies
Participate in code reviews and contribute to the development of best practices
Profil Education:
MSc or Ph.D. in Computer Science, Data Science, Machine Learning or a related field
Experience:
- 3+ years of experience in MLOps, Data Engineering or similar roles, with a strong focus on AI/ML use-cases
Technical Skills:
- Proven experience designing, implementing, integrating, and maintaining Data infrastructure and MLOps solutions
- Strong knowledge of Cloud solutions, preferably Azure
- Experience with on-premises infrastructure management, including server management, networking, and storage
- Experience with containerization and orchestration tools like Docker, Kubernetes, and Apache Airflow
- Strong scripting and automation skills, such as Python and Bash
- Strong understanding of DevOps principles and practices
- Experience with CI/CD pipelines, preferably GitHub Actions
- Proficiency in IaC tools, preferably Terraform
Soft Skills:
- Excellent problem-solving skills
- Effective communication skills, team player, and capable of collaborating across functional areas
- Proactive, customer and result-oriented personality
- Fluent in English, written and spoken
- Experience working in Agile/SAFe environments
Education:
MSc or Ph.D. in Computer Science, Data Science, Machine Learning or a related field
Experience:
- 3+ years of experience in MLOps, Data Engineering or similar roles, with a strong focus on AI/ML use-cases
Technical Skills:
- Proven experience designing, implementing, integrating, and maintaining Data infrastructure and MLOps solutions
- Strong knowledge of Cloud solutions, preferably Azure
- Experience with on-premises infrastructure management, including server management, networking, and storage
- Experience with containerization and orchestration tools like Docker, Kubernetes, and Apache Airflow
- Strong scripting and automation skills, such as Python and Bash
- Strong understanding of DevOps principles and practices
- Experience with CI/CD pipelines, preferably GitHub Actions
- Proficiency in IaC tools, preferably Terraform
Soft Skills:
- Excellent problem-solving skills
- Effective communication skills, team player, and capable of collaborating across functional areas
- Proactive, customer and result-oriented personality
- Fluent in English, written and spoken
- Experience working in Agile/SAFe environments
Kontakt & Wissenswertes
Work #LikeABosch includes:
⚖️ Flexible work conditions
🔀 Hybrid work system
🌐 Exchange with colleagues around the world
🧑⚕️ Health insurance and medical office on site (psychology and general clinic)
📚 Training opportunities (p.e., technical training, foreign languages training) & certifications
📈 Opportunities for career progression and continuous professional development
💲 Access to great discounts in partnerships and Bosch products
🏋️ Sports and health related activities
🚉 Great access to public transports
🚌 Free transport from Porto
💰 Flexible benefits platform
🅿️ Free parking lot
🍽️ Canteen
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
Einblicke in unsere Arbeitswelt

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Willkommen in Braga
Unsere Standort-Vorteile
Gute Anbindung an öffentliche Verkehrsmittel
Gute Anbindung an öffentliche Verkehrsmittel, Dienstrad Leasing, die Wahl zwischen einem kostenlosen Öffi-Ticket für die Kernzone Wien, einem gestützten Klimaticket oder einem Mitarbeitenden-Parkplatz
Vergünstigungen für Mitarbeiter
Vergünstigte Einkaufskonditionen bei uns und unseren Partnerunternehmen, gestützte Kultur- und Freizeitveranstaltungen
Flexibles und mobiles Arbeiten
Gleitzeit und moderne Arbeitszeitmodelle von Teilzeit bis zu Jobsharing, Home-Office und eingearbeitete freie Fenstertage
Kostenfreie Parkmöglichkeiten
Gestütze Parkgarage am Standort, kostenfreie Fahrrad-Parkplätze im Hof, gesicherter Fahrradabstellplatz zu mieten
Gesundheit und Fürsorge
Arbeitsmedizinische Vorsorge und Beratung durch internes ärztliches Personal, kostenlose Impfungen, attraktive Gesundenversicherung, psychosoziale und therapeutische Beratung, persönliche Gesundenvorsorge, Workshops und Vorträge zum Thema Gesundheit, betriebliche Altersvorsorge ab dem 3. Jahr bei Bosch
Bosch Bus zur Direktverbindung Porto <> Bosch Braga
Trainingsmöglichkeiten und Zertifizierungen
Breites Angebot an Gesundheits- und Sportaktivitäten
Verpflegungsmöglichkeiten vor Ort
Gesunde und schmackhafte Verpflegung zu gestützten Preisen in unserem Betriebsrestaurant und in der Cafeteria, kostenloser Kaffee in unseren Kaffeeküchen
Krankenversicherung
Austausch mit Kollegen auf der ganzen Welt
Weitere Stellenangebote
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