Senior Scientist in Machine Learning Operations

Job Title: Senior Scientist in Machine Learning Operations

Job Ref: AICOS_Jobs_2022_07

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:

Fraunhofer Portugal AICOS is looking for a senior scientist specialized in 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 MLOps and interact with researchers from different backgrounds to conceptualize, plan and develop new tools and pipelines to deploy impactful AI-based solutions.

 

Your responsibilities:

- Employ and disseminate state-of-the-art methods and best practices crossing the entire Machine Learning (ML) pipeline, from data storage and annotation to pre-processing, modelling and (scalable) deployment, as well as CI/CD and model monitoring;

- Plan and guide developments in Privacy-preserving ML, Federated Learning, Edge computing, Multi-platform ML deployment, and version control of data, code, and models;

- 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 MLOps tasks in the development of new AI solutions;

- Contribute to the detailed documentation of ML projects and SW produced.

 

Academic Qualifications:

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 deploying ML models onto production environments;

- Demonstrated experience with data warehousing and ETL frameworks;

- 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, but not only. 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 AI solutions that generate value and 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 30th of May 2022.

The selected candidate is expected to start working in June 2022.

Applications must be made to the email jobs@fraunhofer.pt 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 projects:

- SmartHealth4ALL – Smart Health 4 All, with reference POCI-01-0247-FEDER-046115;

- ConnectedHealth – Smart and End-to-end Healthcare Management Platform, with reference POCI-01-0247-FEDER-046858;

- ICANs – Intelligent Customer and Advanced Natural systems, with reference POCI-01-0247-FEDER-048958;

- NextGenAI – Center for Responsible AI, with Notice No. 01/C05-i01/2021.