Job Description
Reference 250008SV
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, 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
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 SocitGnrale, 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 youre 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 Groups 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, Diversity and Inclusion
We are an equal opportunities employer and we are proud to make diversity a strength for our company
Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination,
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: Site Reliability Engineer
Employement Type: Full time
Contact Details:
Company: Societe Generale
Location(s): Bengaluru
Keyskills:
pandas
continuous integration
kubernetes
github
scikit-learn
jenkins
ansible