Machine Learning Engineer
Sobre o trabalho Machine Learning Engineer
Luza is an all\-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.
We believe that technology \+ human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.
Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.
Its time to burst the bubble, and we will do it together!
What You'll do:
- Deploy machine learning models developed by Data Scientists into production environments.
- Build, maintain, and support ML\-focused CI/CD pipelines.
- Monitor production models, track performance, failures, and key metrics.
- Implement monitoring and alerting solutions.
- Develop clean, scalable, and testable Python code.
- Collaborate closely with Data Scientists and Data Engineers.
- Support model deployment and data transformation initiatives.
- Optimize model performance, response times, and operational efficiency.
- Manage production model lifecycles and deployments.
- Contribute to building MLOps practices from the ground up.
- Support automation initiatives for model retraining workflows.
- Deploy and manage ML workloads on AWS, Azure, or GCP.
- Build and maintain model\-serving APIs using FastAPI or Flask.
- Deploy and optimize ML solutions using Docker and Kubernetes.
- Machine Learning Engineer with 3\+ years of professional experience.
- Strong Python developer with experience in OOP, testing frameworks, and software design patterns.
- Skilled in SQL and data manipulation.
- Familiar with MLOps principles, Git versioning, pull requests, and code reviews.
- Experienced with TensorFlow, PyTorch, and Scikit\-learn.
- Comfortable working with AWS, Azure, or GCP.
- Experienced in CI/CD, Docker, Kubernetes, and production deployments.
- Proactive problem\-solver with strong ownership and accountability.
- Collaborative professional able to work effectively across teams.
- Adaptable and comfortable working in fast\-paced, evolving environments.
- Fluent in English (minimum B2 level).
- Available to work in a hybrid model (2 days/week in the Lisbon office).
- Wage according to candidate's professional experience;
- Remote Work whenever possible;
- Delivery of work equipment adjusted to the performance of functions;
- Benefits plan;
- And others.
Are you ready to step into a diverse and inclusive world with us?
Together we will promote uniquess!
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