SCIB is looking for a MLOps Analyst based in our MÁLAGA office.
WHY YOU SHOULD CONSIDER THIS OPPORTUNITY
At Santander CIB ( www.santandercib.com ) we are key players in the transformation of the financial sector. Do you want to join us?
Santander Corporate & Investment Banking (SCIB) is Santander's global division that supports some of the world's most complex and sophisticated corporate and institutional clients, offering customized services and value-added wholesale products to best meet their needs.
Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation.
WHAT YOU WILL BE DOING
Join our team as a MLOps Analyst!
A role which focuses on enhancing digital capabilities by efficiently deploying and maintaining AI applications, bridging the gap between data science and IT operations to improve operational efficiency. This position involves collaboration with various departments to design and implement robust AI solutions.
We're seeking a visionary leader to drive the development of cutting-edge AI solutions in Corporate and Investment Banking. If you have a passion for innovation, a strong technical background, and a desire to make a significant impact, we want to hear from you!
We need someone like you to help us in different fronts:
Develop and Maintain AI Applications :
- Implement AI models using Python.
- Utilize Kubernetes for deployment and management.
- Perform ETL processes with Python and Spark.
- Build and maintain APIs related to AI/ML.
Ensure Code Quality and build deployment pipelines:
- Use Git and implement CI/CD pipelines using tools like GitHub Actions, Sonar, and Fortify.
- Conduct testing with frameworks like Pytest.
- Monitor and maintain production projects.
- Use orchestration tools like Control-M and Airflow
Collaborate with stakeholders:
- Collaborate with Data Scientists, Product Owners, and CTOs.
EXPERIENCE
- +2 years of actual experience in developing and mantain productive AI applications.
EDUCATION
- Bachelor’s or master’s degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related discipline.
SKILLS & KNOWLEDGE
- Proficiency in Python, Kubernetes, SQL, ETL with python & Spark.
- Experience with git.
- CI/CD (Ex. Github actions, Sonar, fortify).
- Deployment, maintenance and monitoring of production projects.
- Experience building APIs (related to IA/ML). - Experience in testing (Pytest).
OTHER
- Experience in AWS (step functions), Azure (Azure functions, Azure durable functions).
- IaC (Terraform).
- Experience with model management and deployment such as MLFlow and Kubeflow.
- Experience with orchestration tools like Control-M, Airflow.
If you want to know more about us, follow us on https://www.linkedin.com/company/santander-corporate-investment-banking/
#SCIB