Specialist Software Engineer - ML OPS Engineer

Societe Generale Global Solution Centre

3 - 6 years

7 - 11 Lacs

Bengaluru

Posted:6 days ago| Platform:

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Skills Required

kubernetes continuous integration css scikit-learn numpy bootstrap ansible docker sql react.js git jenkins software engineering html mysql python github software development pytest data engineering sqlalchemy javascript pandas django agile flask

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

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

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