MLOps Engineer (f/m/div.)

Joinimagine; Sequeira; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work conditions

Hybrid work system

Health insurance

Training opportunities

Career progression

Free parking

Resumo da oferta

Bosch Car Multimedia, S.A. seeks an experienced MLOps professional to define and evolve the MLOps strategy for a hybrid cloud environment. You will align with business goals, security standards, and industry best practices while shaping a scalable, self-service ML platform.

You will implement IaC with Terraform, ensure security, and build monitoring dashboards. You will collaborate with ML engineers, data scientists, software and infrastructure teams to deliver a reliable, reproducible platform

Qualificações

• MSc or PhD in Software Engineering, Computer Science, Data Science, Machine Learning or a related field.
• 2+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.
• Fluent in English, written and spoken.
• Good understanding of the ML development process and model life cycle.
• Good understanding of DevOps principles and practices.
• Experience with MLOps solutions or CI/CD pipelines.
• Strong scripting/automation: Python and Bash.
• Knowledge of Cloud solutions, preferably Azure.
• Terraform, GitHub Actions, and Kubernetes knowledge.
• Experience with GNU/Linux as primary development environment.

Responsabilidades

• Define and evolve the MLOps strategy for a hybrid cloud environment aligned with business goals.
• Design a scalable MLOps platform covering data ingestion, feature engineering, model training, deployment and monitoring.
• Develop and maintain documentation for MLOps processes and infrastructure.
• Design and implement IaC using Terraform to provision cloud and on‑prem resources.
• Ensure robust security to protect data and ML models across hybrid environments.
• Build monitoring dashboards and alerting to detect and resolve platform issues.
• Collaborate with ML engineers, data scientists, software and infra teams.
• Participate in code reviews and promote best practices.

Conhecimentos

MLOps

DevOps

Python

Bash

Azure Cloud

Terraform

GitHub Actions

Kubernetes

GNU/Linux

English fluency

Formação académica

MSc/PhD in Software Engineering / CS / Data Science / ML

Ferramentas

Azure

Terraform

GitHub Actions

Kubernetes

Descrição da oferta de emprego

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

MLOps Strategy & Architecture

• Contribute to the definition and evolution of the MLOps strategy for a hybrid cloud environment, ensuring alignment with business objectives, security standards, and industry best practices;
• Support the design of a scalable MLOps platform with a self-service approach, covering the full ML lifecycle, including data ingestion, feature engineering, model training, validation, deployment, and monitoring;
• Develop and maintain clear and structured documentation for MLOps processes, workflows, and infrastructure.

Hybrid ML Lifecycle Implementation

• Design and implement Infrastructure as Code (IaC) solutions using Terraform to provision and manage cloud and on-premises resources;
• Ensure robust security practices to protect sensitive data and ML models across hybrid environments;
• Develop and deploy new platform functionalities while ensuring key non-functional requirements, particularly reproducibility and reliability;
• Build and maintain monitoring dashboards and alerting systems to proactively detect and resolve platform issues.

Collaboration & Contribution

• Collaborate closely with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a scalable and high-quality MLOps platform;
• Communicate effectively with both technical and non-technical stakeholders, ensuring alignment and transparency;
• Stay up to date with emerging MLOps trends, tools, and technologies, actively contributing to continuous improvement;
• Participate in code reviews and contribute to the definition and adoption of best practices.

Qualifications

Education:

• MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning or a related field.

Experience:

• 2+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.

Technical Skills:

• Good Understanding of the ML development process and model life cycle;
• Good understanding of DevOps principles and practices;
• Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines;
• Good scripting and automation skills with Python and Bash;
• Knowledge of Cloud solutions, preferably Azure;
• Basic understanding of Terraform, GitHub Actions, and Kubernetes;
• Experience with GNU/Linux systems as key development environment.

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.

Additional Information

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

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