InnoTech

Machine learning engineer

In short

This role deploys Machine Learning models into production, building CI/CD pipelines, MLOps practices, and monitoring systems while collaborating with Data Scientists and Engineers. It's a mid-level hybrid position in Lisbon at a technology consulting company, requiring 3+ years of ML experience with Python, SQL, TensorFlow, PyTorch, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure). CPLP nationality or an EU work permit is required.

About
A Company you will be happy to grow with! At InnoTech, it's all about connecting people with business through technology. We truly care about you, your happiness, and your well-being. We look for passionate people who are eager to learn, evolve, and grow with us - because growth is in our DNA.
Responsibilities
•Bring Machine Learning models into production, ensuring reliable deployments and scalable, production-ready solutions
•Build and maintain ML deployment workflows and CI/CD pipelines, contributing to the development of MLOps practices from the ground up
•Monitor models in production, implementing metrics and alerting while troubleshooting failures and optimizing model performance
•Develop clean, structured, reusable, and testable Python code while contributing to model retraining and deployment automation initiatives
•Collaborate closely with Data Scientists and Data Engineers on model deployment, data transformation, and continuous improvement of ML solutions
Requirements
•More than 3 years of professional experience in Machine Learning, with strong Python and SQL skills and hands-on experience with TensorFlow, PyTorch, and Scikit-learn
•Experience deploying ML solutions using Docker and/or Kubernetes and developing model-serving APIs with FastAPI or Flask
•Knowledge of cloud environments such as AWS, GCP, or Azure, combined with experience building and maintaining CI/CD pipelines using tools such as GitHub Actions or Jenkins
•Good understanding of MLOps practices, software versioning, testing, code reviews, model lifecycle management, and at least B2-level English proficiency
•CPLP nationality or an EU work permit is required to facilitate employment
Nice to have
•Experience optimizing production ML models, including response times, operational efficiency, model optimization, and compression techniques
•Knowledge of automated model retraining processes, production monitoring, alerting, and ML-specific versioning practices
•Familiarity with Java or Scala for integration with existing systems
•A proactive and ownership-driven mindset, with strong communication, collaboration, and problem-solving skills
•BSc or MSc in Computer Science/Engineering, Information Technology, or related fields
Conditions
•Health-focused partnerships, including free mental health support
•25 days of vacation, including your birthday, Carnival, and a bridging day between Christmas and New Year
•Half a vacation day on your children's birthday and a school supplies voucher
•Petsitting partnerships and a pet bereavement day
•Regular team buildings, four annual company parties, game nights, and social events
•InnoSports initiatives (football, marathons, and more)
•Events focused on sustainability and social responsibility actions

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