Job Location: Ahmedabad
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 Build Labs Team Senior Data Scientist, you will support the creation of cloud applications that work smarter and more effectively by infusing data science workflows to extract business insights from data. These insights will drive increased value – for many of the biggest and most complex ISV partner applications. You will work with a team of engineers with expertise in industry-leading Cloud platforms and technologies to implement these transformations.
To succeed, you will become a trusted collaborator with ISV partner developers and data scientists as they move their technologies and offerings to IBM software solutions across multi-cloud platforms. You will have an opportunity to consult and provide guidance to ISV partners as they integrate their products, services and offerings to IBM software solutions across multi-cloud platforms.
You will have:
- The opportunity to work in many different areas to figure out what really excites you in the domain of Data Science
- You ll have access to all the technical and management training courses you need to become the expert you want to be
- Exposure to work on multiple strategic areas
- Client interfacing opportunities
Required Technical and Professional Expertise
- 8 years experience in the area of Software Development or deployment, along with
- Min 5 years experience with Data science and Machine Learning projects
- Expertise with development in a data science programming language like Python or R
- Expertise of data science open-source technologies including Python, Jupyter notebooks, TensorFlow, ScikitLearn, SparkML, and Spark
- Experience defining use case, designing, running and statistically evaluating models used in Machine Learning, Optimization, Neural Networks. Ability to structure a use case into stochastic methods, probability theory and solve using algorithms.
- Must have one or more of the following customer-facing roles in work history:
- Professional/lab services, technical sales, support, ISV, or business partner focal
- Successful completion of a delivered customer project as a developer or data specialist
- Comfortable interacting with ISV and/or external customer
- You should be familiar with IBM software solutions across multi-cloud platforms and Red Hat OpenShift platforms or other public cloud platforms.
Background & experience:
- Must exhibit excellent written and verbal English communication skills
- Master s degree in data science or Statistics or Quantitative field
Preferred Technical and Professional Expertise
- Expertise with Jupyter notebooks for defining use cases, hypothesis testing methods, A/B testing
- Experience with deep learning models using Keras, Tensorflow, Pytorch, Caffee
- Deep Understanding of ML-Ops deployment methods and scoring ML models
- Experience with Watson Studio and Watson Machine Learning
- Experience with AI Fairness 360 toolkit and/or Watson OpenScale
- Experience with IBM software solutions across multi-cloud platforms Pak for Data
- Understanding of IBM Garage method
- Experience as a client or ISV developer advocate
- Experience in Data and AI offerings on public clouds (AWS, Azure, Google etc.)
- Experience with Decision Optimization.
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