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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
The LT Unit at BSC is looking for an MLOps engineer with experience in automating the development, deployment and monitoring of ML models. The MLOps engineer will develop, maintain and optimize ML pipelines to ensure high performance and reliability of ML models, furthermore ensure their effective deployment to the production. The successful candidate will work in a highly sophisticated HPC environment, will have access to state-of-the-art systems and computational infrastructures.
- Design and implement ML model continuous integration, continuous deployment and continuous monitoring processes for production.
- Develop and maintain CI/CD pipelines for ML models.
- Configure and automate ML model deployment, monitoring and scaling in production.
- Implement monitoring and logging of ML models.
- Identify areas of improvement in the ML model lifecycle.
- Collaborate with data engineers and ML engineers to select best ML model architectures and hyperparameters.
- Ensure the accessibility of the open software, and the replicability of their deployment via containers based architectures.
- Maintain the code infrastructure as open source repositories.
- Education
- Bachelor’s degree in Computer Science, Information Technology or related field.
- Essential Knowledge and Professional Experience
- In-depth knowledge of Linux/Unix systems.
- Demonstrable experience of automating tasks via Python, bash or other scripting tools
- Experience with Kubernetes (entry level), Docker, or other comparable containerization
- Experience with cloud technology; AWS, Azure/GCP or OpenStack.
- Knowledge on Automation/DevOps tools (such as Github Actions, Gitlab, Jenkins, etc.)
- Experience using Minio/AWS S3 or other comparable object storage solution
- Knowledge with NGINX proxy or other comparable solution
- Additional Knowledge and Professional Experience
- Fluency in spoken and written English
- Competences
- Ability to work independently and in a team to complete tasks on schedule.
- Ability to work under set deadlines
- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: asap
- A full CV in English including contact details
- A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
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This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.