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Bangalore, India
Actively hiring, first seen by us todayDeploy 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
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.
Python FastApi, SqlAlchemy
Kubernetes, Docker
CI/CD: Jenkins, Ansible, GitHub Action, Harbor, Docker
Numpy, Pandas, Scikit-learn, Transformers
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 70.
From 4,444 similar postings that came down. Coming down is not always a hire.
34 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
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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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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Bangalore, India
Working pattern and location restrictions need checking in the full posting.
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