Company Name:-
IBM

Job Location:-
Kochi, Kerala

Job Summary:-
Introduction
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today – planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do.

Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide.

At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role and Responsibilities
As a Data Scientist you would be working with a WorldWide team on Financial Products.

The team is building Cognitive capability on top of existing solutions to bring more accuracy and reliability on the system and reduce false positive to a greater extent.

You will be participating on various solutions and come up with a common approach to be able to solve the issue by using Machine Learning capabilities.

1.

Propose and design the solution and approach to solve a Machine Learning problem

2.

Develop and code the solution from end to end and be able to integrate with existing offerings
3.

Ensure the approach is tuned for performance
4.

You will have access to Watson Machine Learning Services and APIs
5.

You will be a part of WW Data Scientist team working on complex problem dealing with financial crimes
6.

There will be scope of working on open sources as well.

Required Technical and Professional Expertise
10+ Years of relevant industry Experience
Programming skills (at least two) – Python / R / Scala / Java (Python expertise must)
Ability to consume and deploy data via APIs
Seasoned data scientist with demonstrated, extensive experience in machine learning and data mining, who can analyse and mine structured and unstructured data, build data-driven predictive models and solutions to support use cases,
Having hands on experience developing supervised and unsupervised machine learning algorithms using relevant programming languages, mathematical/statistical/ML languages
Knowledge on big data tools and languages; with advanced knowledge in

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