Detalhes da oferta
Job Title: Privacy-preserving ML ResearcherJob Ref: AICOS_Jobs_2025_08
Job Type: Full time contract.
Job Location: Porto, Portugal.
Job Description:
Fraunhofer Portugal AICOS is seeking a talented Machine Learning Researcher or Engineer to join our dynamic and multidisciplinary team within the Intelligent Systems Group. In this role, you will be at the forefront of technological innovation, working on applied research projects that bridge the gap between cutting-edge research and real-world impact. You will contribute to initiatives that enhance industries, promote social well-being, and improve quality of life. Specifically, you will contribute to the development of a robust and flexible Privacy-preserving ML backend and data orchestration framework aiming to support the development and deployment of private, secure, and robust ML pipelines.
Your role:
Privacy-Preserving ML Framework Development:
Continue the development of a comprehensive framework for privacy-preserving learning, highlighting Federated Learning capabilities (supporting Nvidia Flare);
Integrate and experiment with additional privacy-enhancing technologies (PETs) offered by NVIDIA Flare, including homomorphic encryption and differential privacy;
Build upon the existing API and UI to enable flexible experimentation and enhance user experience.
Deployment & Platform Scalability:
Deploy the platform across diverse environments, from cloud infrastructures (e.g., AWS) to edge devices (e.g., NVIDIA Jetson);
Ensure robust and scalable deployment solutions, applying best practices in DevOps and CI/CD pipelines;
Maintain high engineering standards while continuously adapting to new challenges and research insights, applied to different use cases, from healthcare to industrial scenarios.
Data Orchestration & Collaboration:
Collaborate on data orchestration initiatives, assessing various solutions (e.g., DataHub) for data discovery, governance, and management;
Evaluate and compare different technologies, identifying pros and cons to guide platform evolution;
Work closely with multidisciplinary teams to integrate data orchestration solutions seamlessly into existing workflows.
Your profile:
Academic Qualifications: Master’s degree or equivalent qualifications in Computer Science, Electrical and Computer Engineering, or related studies.
Technical Skills:
Programming: Solid foundation in Python (and possibly other languages), version control (Git), and software development best practices;
Federated Learning: Hands-on experience with frameworks like NVIDIA Flare or Flower, or strong willingness to learn;
Other Privacy-Enhancing Technologies (PETs): Familiarity with homomorphic encryption, differential privacy, or other PETs, is a plus;
Deployment: Proficiency in deploying solutions on cloud environments (e.g., AWS, Azure) and, ideally, on edge devices (e.g., NVIDIA Jetson);
DevOps & CI/CD: Knowledge of containerization (Docker) and orchestration (Kubernetes). Familiarity with infrastructure-as-code tools (e.g., Terraform) and MLOps tools such as MLFlow, is a plus.
Other skills: Excellent English communication skills (technical and general audiences).
We value:
Demonstrated experience in software engineering and/or applied research, balancing robust engineering principles with a curiosity-driven approach;
Understanding of, or strong interest in, security and privacy considerations within distributed ML systems;
Experience or curiosity in data orchestration tools (e.g., DataHub) and an appreciation for data governance and management challenges;
Ability to work effectively in multidisciplinary and cross-functional teams;
Autonomous, dependable, proactive, and a critical-thinking team player.
Why should you join Fraunhofer Portugal:
Innovative Environment: Be part of a people-centric workplace that fosters creativity and out-of-the-box thinking. We encourage the development of new ideas and ensure that every voice is heard.
Research with Impact: Engage in projects that sit at the intersection of research and real-world applications, contributing to technology that makes a tangible difference in society.
Multidisciplinary Teams: Collaborate with professionals from diverse backgrounds, enhancing your learning and professional growth.
Professional Excellence: Work within a culture that upholds professional standards and best practices, promoting continuous improvement and excellence in research.
Flexible Work Arrangements: Benefit from flexible working hours and opportunities to work from home, supporting a healthy work-life balance;
Comprehensive Benefits: Benefit from a partially funded health insurance plan, and a variety of additional perks;
Supportive Culture: Join a team with an excellent spirit, where collaboration, mutual support, and team achievements are celebrated.
Application Process:
Applications are permanently open until the ideal candidate is selected. The first evaluation of applications will occur on 20th of May 2025.
The selected candidate is expected to start working in June 2025.
To Apply:
Send your application via Fraunhofer Portugal Website (including your Curriculum Vitae) – Mandatory.
Observation:
The research activities in the scope of this job opportunity are planned to be developed within the framework of the following projects:
ACHILLES – Human-centred Machine Learning: Lighter, Clearer, Safer, with Notice No. HORIZON-CL4-2024-DATA-01-01 and Project Reference No. 101189689;
AICeBlock?–?AI Certification through the Blockchain;
NextGenAI – Center for Responsible AI, with Notice No. 01/C05-i01/2021 and Project Reference No. 62 - C645008882-00000055.
| Distrito | Porto | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Habilitações mínimas | Curso Superior | ||||||||
| Experiência mínima | 1-3 anos | ||||||||
| Idiomas | Proficiency in English | ||||||||
| Sector de actividade | Engenharia e Serviços Técnicos | ||||||||
| Tipo de contrato | Full-time | ||||||||
| Tipo de oferta | Emprego | ||||||||
| Contactos |
Associação Fraunhofer Portugal Research
Rua Alfredo Allen, 455/461 4200-135 Porto Portugal
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