Introduction
At IBM, we're revolutionizing our approach to technology sales. Our teams are champions of co-creating solutions in real-time to solve complex business challenges.
In this role, you'll partner with technical leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation.At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you'll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM's people, products, and services.
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This is an opportunity for you to help IBM and external partners succeed in Data & AI space.
Your Role and Responsibilities
As an SI Lab Team 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 SI partners. You will work with a team of engineers with expertise in industry-leading Data & AI platforms and technologies to implement these transformations.
This role will interface with marketing, expert services, development, other IBM delivery organizations and business development leaders to ensure successful outcomes. Candidates must be comfortable working in a dynamic and rapidly evolving agile work environment.
This is an opportunity for you to help IBM and external partners succeed in Data & AI space.
As a Data Scientist on the SI Labs team, you will:
- Assist partners in defining, designing, implementing and deploying machine learning technologies in their product
- Participate in engagements with partners
- Enable partners on IBM's Data/AI technologies, products
- Effectively lead projects with multiple technical teams and IBM Partners across geographies
- Capture best practices for ML, Data/AI technologies, create documentation like articles, tutorials, and hands-on workshops & demos
- Demonstrate your passion to understand and learn new technologies, to innovate and improve quality of service
Required Technical and Professional Expertise
- Required skills - 3+ experience with Data science projects
- Experianceworking on enagements for data science, conceptualisation of use cases and experience in design, build, train and deploy ML componants. Strong Foundation in Statistics and machine learning algorithms. Experience with Generative AI.
- Expertise working with open source packages in NLP, Timeseries etc.
- Expertise with development in a data science programming language like Python or R
- Experience running and statistically evaluating models used in Machine Learning, Optimization, Neural Networks
- Experience in Data and AI offerings on Public clouds (AWS, Azure, Google etc.)
- Experience with ADO or Jenkins for CI/CD- Must have one or more of the following customer-facing roles in work history:
- Understanding of data science open source technologies including Python, Jupyter notebooks, Pytorch , TensorFlow and Spark
- technical sales, support, ISV, or business partner focal
- Successful completion of a delivered customer project as a developer or data specialist
- Ability to understand and learn new technologies quickly
- Must exhibit excellent written and verbal English communication skills
- Background
- Bachelor/Masters Degree in Computer science
Preferred Technical and Professional Expertise
- 5+ years of experience in Big Data technologies (Hadoop, Spark)
- Expertise with Jupyter notebooks
- Experience with deep learning models using Keras
- Deep Understanding of Statistical Machine Learning Models with Python or R
- Experience with Watson Studio and IBM AI API
- Understanding of data science open source technologies including Python, Jupyter notebooks, TensorFlow, and Spark
- Big Data Certifications on Cloudera/Hortonworks/AWS/GCP/Azure
- Experience with AI Fairness 360 toolkit and/or Watson OpenScale
- Experience with IBM software solutions across multi-cloud platforms Pak for Data
- Experience as a client or ISV developer advocate
- Experience in Data and AI offerings on Public clouds (AWS, Azure, Google etc.)
- Experience with Databases and Data engineering