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Lead Software Engineer - ML OPS Engineer - IT (Information Technology) - Bangalore, India

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Employment
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What you’ll work on

Full posting
  • Deploy and maintain the group data science platform infrastructure

  • Industrialize inference, retraining and monitoring of data science pipelines

  • Provide platform support to end-users

  • Anticipate needs and necessary developments for the platform

From the employer’s posting
deployment and maintenance of the group data science platform infrastructure
Industrialize inference, retraining, monitoring data science pipelines, ensuring their maintainability and compliance.
Provide platform support to end-users.
Anticipate needs and necessary developments for the platform.

What you’ll bring

All qualifications

Core experience

  • Python with FastAPI and SQLAlchemy
  • Kubernetes and Docker
  • CI/CD tools such as Jenkins, Ansible, GitHub Actions
  • Data science libraries: Numpy, Pandas, Scikit-learn, Transformers
Qualification wording
Python FastApi, SqlAlchemy
Kubernetes, Docker
CI/CD: Jenkins, Ansible, GitHub Action, Harbor, Docker
Numpy, Pandas, Scikit-learn, Transformers
Apply at Societe Generale

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

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How this job compares

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From 4,444 similar postings that came down. Coming down is not always a hire.

Societe Generale is hiring

34 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Azure
  • Docker
  • Grafana
  • Hadoop
  • Kibana
  • Kubernetes
  • PostgreSQL
  • S3
  • Snowflake
  • FastAPI
  • NumPy
  • pandas
  • scikit-learn
  • SQLAlchemy
Where the posting names them
ResponsibilitiesJob Description: ML OPS EngineerYou 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 requiredTechnical 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 insightAt 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.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

ResponsibilitiesJob Description: ML OPS EngineerYou 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 requiredTechnical 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 insightAt 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.
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