Description

Senior / Experienced Scientist in Responsible AI

Job Title: Senior / Experienced Scientist in Responsible AI

Job Ref: AICOS_Jobs_2023_08

Job Type: Full time contract.

Job Salary: Depending on the academic degree and professional experience of the candidate.

Job Location: Porto or Lisbon, Portugal.

Job Description and Responsibilities:

Fraunhofer Portugal AICOS is looking for a senior scientist specialized in Privacy-preserving Machine Learning and/or Machine Learning Operations (MLOps) to join the Intelligent Systems Group.

The Senior Scientist role is highly strategic for Fraunhofer Portugal AICOS’s quest to create scientific knowledge capable of generating added value for its clients and partners. As a Senior Scientist at AICOS, you will create purposeful technology to promote economic growth, social well-being and improve the quality of life of its end-users.

Working within the Intelligent Systems Group, you will lead the topic of Privacy-preserving ML and / or MLOps and interact with researchers from different backgrounds to conceptualize, plan and develop new tools and pipelines to deploy responsible and impactful AI-based solutions.

The job offer is focused on the following tasks:

• Plan and guide research and developments in Privacy-preserving ML, Federated Learning, Edge computing, Multi-platform ML deployment;
• Plan and guide the conceptualisation, creation and release of supporting modules enabling the application of Responsible AI principles in practice;
• Be updated on the latest scientific findings, technologies and innovations in this area of specialization;
• Collaborate with teammates, clients, partners, and domain experts to plan the Privacy-preserving ML / MLOps tasks in the development of new Responsible AI solutions;
• Contribute to the detailed documentation of ML projects and SW produced.

Academic Qualifications:

Academic PhD or MSc degree in Computer Science, Data Science, Biomedical Engineering, Electrical Engineering, Mathematics, Physics, or related studies.

Requirements:

• Excellent programming skills (C/C++ and Python preferred);
• Demonstrated Machine Learning background, with relevant hands-on experience in privacy-preserving ML or ML Operations;
• Proficiency in productization technologies such as (REST) APIs, Docker containers, Kubernetes;
• Experience in version control of code (e.g., Git), data (e.g., DVC) and models (e.g., MLFlow);
• Excellent English communication skills (technical and business audiences).

We value:

• Work experience in the field of IT;
• In-depth knowledge of machine learning pipelines and data product journey (data collection, data labelling, data preparation, model development, model evaluation, model optimization, model deployment and model monitoring);
• Experience in programming with widespread ML Frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);
• Interest in supporting the development of Open Science and FAIR Data;
• Ability to work with cross-functional teams and influence others;
• Autonomous, dependable and enthusiast team-player;
• Problem-solving, proactive, and critical thinking attitude.

In return, we offer:

• Excellent work conditions in a stimulating and dynamic environment with opportunities to contribute to a number of innovation topics and application areas. You have the chance to contribute to the growth of your team;
• Opportunity to lead the way in your technical field and make a difference in creating Responsible AI solutions that generate value and positive impact;
• Excellent conditions of employment including attractive salary (depending on the academic degree and professional experience), private health insurance plan, access to entrepreneurship programmes and a people-centric environment.

Why should you join Fraunhofer Portugal:

• Operating at the interface between science, research and industry, Fraunhofer offers a broad spectrum of professional opportunities and a working environment that encourages creativity and the development of new ideas, in which personal and career development go hand in hand.

Application Process:

Applications are permanently open until the ideal candidate is selected. A first “cut-off” to evaluate applications day will occur on the 10th of July 2023.

The selected candidate is expected to start working in September 2023.

Applications must be made to the email [email protected] and contain:

• CV – mandatory;
• Motivation Letter – mandatory;
• Recommendation Letters are optional but also welcome.

Observation:

The research activities in the scope of this job opportunity are planned to be developed within the framework of project:

• AISym4Med – Synthetic and Scalable Data Platform for Medical Empowered AI, with reference HORIZON-HLTH-2022-IND-13-02;
• NextGenAI – Center for Responsible AI, with reference Projeto nº 62_C645008882-00000055.