Lead Software Engineer - ML OPS Engineer

Societe Generale Global Solution Centre; Bengaluru; In loco; INR 1.200.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Societe Generale Global Solution Centre is seeking an ML OPS Engineer in Bengaluru to deploy and maintain the data science platform infrastructure, collaborating with data scientists, engineers, and the GTS team. You will ensure scalable pipelines and robust platform support for end-users.

The role requires strong Python skills, Kubernetes, and CI/CD tooling, with a focus on automation, monitoring, and compliance across the data stack.

Competenze

• Experience in ML Ops or MLOps pipelines and platform engineering.
• Strong Python skills and ability to ship reliable code.
• Hands-on experience with Kubernetes and containerization.
• Familiarity with data science tools and data platforms.

Mansioni

• Implement techniques to develop and scale data science pipelines.
• Industrialize inference, retraining, monitoring, and maintainability of pipelines.
• Provide platform support to end-users and stakeholders.
• Gather end-user needs and translate into platform features.
• Collaborate with Data Scientists, Data Engineers, and GTS teams.
• Stay updated on ML OPS best practices and emerging tools.

Conoscenze

Python

FastApi

SqlAlchemy

NumPy

Pandas

Scikit-learn

Transformers

Kubernetes

Docker

Pytest

Strumenti

Jenkins

Ansible

GitHub Actions

Harbor

Descrizione del lavoro

Job Description: ML OPS Engineer

Responsibilities

Job Description: 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.

Environment

• 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

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 environment, 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.