MLOps Engineer

MLOps Engineer
Lisboa
Lisboa, Lisboa, Portugal

A Company you will be happy to grow with!

At Inno
Tech, it´s all about connecting people with business through technology.

We care about you, your happiness, and your well-being. We seek people who want to learn and further improve their skills with us – growth is part of our DNA, and that’s why we’re proud to be certified as a Great Place to Work and to be among the Top 50 Best Workplaces in Portugal! For us, sustainability is not just a word. Integrity and social responsibility lead our behavior.

We dare to be different, ambitious, dream big, and deliver value like no other! You will have the opportunity to work with top-level partners in the banking area, insurance, retail, telecommunications, financial services, and so much more!

We are 180+ Inno
Techers, and we want your talent as an MLOps Engineer.

Your Mission Will Be:

• Deploy and manage machine learning models in production with scalability and reliability in mind;
• Ensure reproducibility and continuous monitoring across the entire ML lifecycle;
• Bridge the gap between Data Science, Software Engineering, and Dev
  Ops;
• Automate workflows for model training, validation, and deployment;
• Maintain high standards for performance, security, and compliance.

You Will Need:

• Minimum of 2 years' experience in similar roles;
• Solid programming skills in Python, Go, Bash, and SQL;
• Experience with model serving tools such as Tensor
  Flow Serving, Torch
  Serve, MLflow, Seldon, or Bento
  ML;
• Proficiency in orchestration and CI/CD platforms like Kubeflow, Airflow, Prefect, Jenkins, or Git
  Hub Actions;
• Strong knowledge of containerization and infrastructure management with Docker, Kubernetes, and Helm;
• Fluency in Portuguese and residence in Portugal;
• CPLP nationality or an EU work permit is required to facilitate employment.

Would Be Awesome If You Have:

• BSc or MSc in Computer Science/Engineering, Information Technology, or related fields;
• Hands-on experience with monitoring solutions (Prometheus, Grafana, Evidently AI, Why
  Labs);
• Familiarity with experiment tracking tools (MLflow, Weights & Biases, Neptune. ai);
• Exposure to cloud ML services such as AWS Sagemaker, GCP Vertex AI, or Azure ML.

With Us You Can Be a:

• Tech
  Thinker – people who want to
  - imagine technology with us;
• Tech
  Solver – strategic, resilient, and a little bit of a puzzle lover;
• Inno
  Minder – inhale innovation, exhale digital transformation;
• Inno
  Techer – no words needed. Just happiness, talent, and all the above!

Are you convinced? Come see it for yourself.

Join our Top-Notch Team!