Machine Learning Engineer

Dellent is a consulting company focused in System Information and Telecommunications. Our goal is to help our candidates and consultants to take a step forward in their careers through projects that meet their needs and expectations.

If you enjoy the thrill of the challenges that Digital Transformation and Energy Transition bring to companies, this project may be interesting to you. Here you will be able to work with the development of personalized services and end-to-end solutions.

• We are hiring a Machine Learning Engineer for a project in Lisbon (Hybrid).
• Responsibilities:- Develop and optimize Machine Learning models with a focus on NLP
• - Implement MLOps pipelines for model automation and scalability
• - Work with cloud platforms such as Vertex AI and Azure ML for solution development and deployment
• - Collaborate with multidisciplinary teams to integrate models into real-world products
• - Continuously monitor and improve the performance of models in production.

Requirements:- Minimum of 5 years of experience with Python and libraries such as TensorFlow, PyTorch, Transformers (Hugging Face)

- Proven experience in NLP (+3), including tasks such as text classification, sentiment analysis, language generation, among others

• - Strong knowledge of MLOps (+5) and the full lifecycle of ML models
• - Hands-on experience with Vertex AI (Google Cloud) and Azure ML (Microsoft Azure).
• Nice-to-have:- Analytical thinking and critical mindset
• - Good communication skills and team spirit
• - Proactivity and a passion for solving technical challenges
• - Continuous interest in new technologies and AI trends
• - Experience in Governmental projects.
• What can you expect from us?- Health insurance
• - A personalized training plan, with a budget to spend on training
• - Constant feedback so you can grow professionally
• - Remote onboarding process
• - Team events every semester so you can live new adventures

- Culture of proximity and transparency. Your ideas and needs are heard and valued by us!Apply:If this project fits your career expectations, submit your application through our website here. You can also explore our content about the job market here.