Machine Learning Engineer

About the company:

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.

Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.

About the opportunity:

You will develop, train, test, and deploy machine learning models in various fields (computer vision, NLP, tabular and time series data…).

This is a hybrid position (2 times a week on-site in Porto or Lisbon).

Responsibilities:

• Investigate novel deep learning-based technologies (self-supervised learning, generative AI…) and bring them to production;
• Set up the MLOps infrastructure for existing and new AI products;
• Work directly with customer data and set up data pipelines to collect, curate, transform, and version data.

Required Qualifications:

• Graduation from a M.Sc. program in computer science or equivalent;
• Experience in training and deploying neural networks and practical hands-on experience with deep learning frameworks like PyTorch and TensorFlow;
• Experience in backend and API development with Python (FastAPI, Flask) or similar;
• Demonstrate excellent knowledge of and practical experience with Object Oriented Programming, design patterns, algorithms and data structures, and version control systems (e.g. Git);
• Experience with cloud platforms (e.g. Azure) and Docker.
• Excellent communication in English.
• Working experience in the industry environment.

Nice to Have:

• Experience with Kubernetes.

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.