(Senior) Ml Ops Engineer Job Id: Ref91807X
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21 hours ago Be among the first 25 applicants
Direct message the job poster from InnoTech
A Company you will be happy to grow with
At InnoTech, 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+ InnoTechers, 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 gapbetween Data Science, Software Engineering, and DevOps;
Automate workflowsfor 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 TensorFlow Serving, TorchServe, MLflow, Seldon, or BentoML;
Proficiency inorchestration and CI/CD platforms like Kubeflow, Airflow, Prefect, Jenkins, or GitHub 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, WhyLabs);
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:
TechThinker
– people who want to re‐imagine technology with us;
TechSolver
– strategic, resilient, and a little bit of a puzzle lover;
InnoTecher
– no words needed.
Just happiness, talent, and all the above
Are you convinced?
Come see it for yourself.
Join our Top-Notch Team
Seniority levelMid‐Senior level
Employment typeFull‐time
Job functionInformation Technology
IndustriesIT Services and IT Consulting
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