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Machine Learning Engineer (Web and Mobile Business Unit), Lisbon
Client:
Sigma Software
Location:
Lisbon, Portugal
Job Category:
Other
EU work permit required:
Yes
Job Reference:
5888f8781575
Job Views:
3
Posted:
02.04.2025
Expiry Date:
17.05.2025
Job Description:
* Work in teams that handle a variety of tasks for clients and projects related to data and machine learning
* Collaborate closely with clients and their teams, maintaining clear and professional communication
* Take ownership of delivering key solution features
* Participate in requirements gathering and clarification, proposing optimal machine learning strategies, and leading ML implementation
* Represent the team as an ML technical expert in presale activities
* Design and develop core modules and functions, ensuring solutions are scalable and cost-effective
* Conduct code reviews and implement unit/integration tests to ensure quality
* Enhance distributed systems and infrastructure to improve scalability
* Support the client’s research team in implementing, training, testing, and fine-tuning deep learning models
* Work with researchers to identify best-fit models and evaluate open-source alternatives for language/signal processing, optimizing performance
Qualifications:
* Advanced knowledge of Python and SQL
* Hands-on experience in model implementation and tuning using frameworks such as PyTorch, TensorFlow, or Keras
* Strong understanding of end-to-end machine learning development and deployment processes
* Proven experience with ML cloud platforms (e.g., AWS SageMaker, Vertex AI) and their ecosystem tools (e.g., SageMaker Pipelines)
* Experience in computer vision development
* Practical knowledge of MLOps principles and best practices
* Ability to design, build, and optimize ML pipelines for the end-to-end machine learning development cycle
* Experience of working with deep learning models for signal/speech processing and NLP
* Experience in scaling model training using multi-GPU infrastructure
* Familiarity with DevOps practices for AI/ML systems
* Track record of building and deploying production-grade AI solutions
* Proficiency in statistical analysis and data mining with the ability to apply these techniques effectively
* At least an Upper-Intermediate level of English
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