Reference 26000IAE Responsibilities : ML OPS Engineer You will be responsible for the deployment and maintenance of the group data science platform infrastructure, on which data science pipelines are deployed and scaled. To achieve this, you will collaborate with Data Scientists and Data Engineers from various business lines and the Global Technology Service infrastructure team (GTS).

Roles: Implement techniques and processes for supporting the development and scaling of data science pipelines.

Industrialize inference, retraining, monitoring data science pipelines, ensuring their maintainability and compliance.

Provide platform support to end-users.

Be attentive to the needs and requirements expressed by the end-users.

Anticipate needs and necessary developments for the platform.

Work closely with Data Scientists, Data Engineers, and business stakeholders.

Stay updated and demonstrate a keen interest in the ML OPS domain.

Workplace: Cloud on-premise, AZure

Python, Kubernetes

Integrated vendor solutions: Dataiku, Snowflake

DB: PostGreSQL

Distributed computing: Spark

Big Data: Hadoop, S3/Scality, MAPR

Datascience: Scikit-learn, Transformers, ML Flow, Kedro, DevOps, CI/CD: JFROG, Harbor, Github Actions, Jenkins

Monitoring: Elastic Search/Kibana, Grafana, Zabbix

Agile ceremonies: PI planning, Sprint, Sprint Review, Refinement, Retrospectives, …

ITIL framework Required Profile required Technical Skills: Python

FastApi, SqlAlchemy

Numpy, Pandas, Scikit-learn, Transformers

Kubernetes, Docker

Pytest

CI/CD: Jenkins, Ansible, GitHub Action, Harbor, Docker Soft Skills: Client Focus: Demonstrate strong listening skills, understanding, and anticipation of user needs.

Team Spirit: Organize collaboration, workshops to find the best solutions. Share expertise with colleagues to find the most suitable solutions.

Innovation:



Propose innovative ideas, solutions, or strategies, and think out the box. Prefer simplicity over complexity.

Responsibility: Take ownership, keep commitments and respect deadlines.

Why join us "We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”. Business insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious.

Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring workplace, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.

We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

📌 Lead Software Engineer - ML OPS Engineer (Bengaluru)
🏢 Societe Generale Global Solution Centre
📍 Bengaluru