
Societe Generale Global Solution Centre
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Jobs at Societe Generale Global Solution Centre
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• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Strong experience on core Java (Version >=1.8 )
Strong experience on Spring ecosystem (Core, MVC, data, JPA, transaction management, security, AOP, Batch & Boot). Comfortable performing integration tests in Spring context.
Strong experience on JDBC and DB concepts.
Experience of TDD/BDD approach and prior experience working with CI/CD tools (Maven, Git, jenkins)
Strong experience on ORM (hibernate) and PL/SQL procedures
Knowledge of some of UI latest languages / frameworks ( Html5, Angular 4+)
Knowledge of SOA/Microservices (REST, Soap) and its challenges
Strong knowledge on APP server (Tomcat, Weblogic)
Strong knowledge on Microservices
Exposure on Digital stack
- UX/UI
- API
- Machine Learning
- Big Data
- Cloud/Docker/IaaS/PaaS
Knowledge on Java Swing
Experience delivering sound development, testing, implementation, deployment and support strategies in complex distributed environments.
Knowledge on production monitoring tools.
Good experience in leading change within a team, especially around testing and quality practices.
Team player, who relentlessly involves others and shares knowledge with them
Should have experience of participant in design reviews and code reviews.
Curiosity in all the latest trends and ready to do POCs with new technical stack
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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About the company
This is our Vision statement. For everything we undertake, this is at the heart. We constantly ask “what kind of experience will this provide?” and then take our actions accordingly.
We are a firm grounded in strong engineering and product craftsmanship. Through value-driven, goal-oriented, and problem-solving practices, we leverage technology to build modern solutions that help our teams deliver the outcomes our clients truly care about. We believe outcomes matter more than output, and this philosophy guides every decision we take. Founded in 2015, we are stepping into our next chapter of growth through long-term, trusted collaborations.
Our services include:
- End-to-end product delivery
- Software Project Rescue
- Paratrooper Engagments
- Product and Technology Consulting
- Process Consulting
As Technology Partners to our clients, we are committed to delivering clean, lean, robust, usable, reusable, maintainable, scalable, and testable software solutions.
Therefore, we follow and champion the principles of software craftsmanship.
We are AWS Select Tier Partner helping SaaS teams build scalable, secure cloud platforms
For more follow us on:
Twitter - https://twitter.com/technogise
Blog - https://medium.com/technogise
Meetup - https://www.meetup.com/technowise
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