Introduction
Join IBM and help us bring our customers into the future,as as innovative company, dedicated to delivering advanced Data and AI solutions to meet the evolving needs of our clients. As a leader in our field, we are expanding our team and seeking a skilled and motivated Data and AI Technical Solution Specialist to drive excellence in solution design and implementation. You will have access to the latest education, tools, technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact!
Your Role and Responsibilities
As a Data and AI Solution Architect, you will be responsible for leveraging data-driven insights and artificial intelligence to solve complex business problems, drive innovation, and create value across various sectors. To excel in this role, you should possess a unique combination of skills and experiences in the following areas:
- Data Science and Machine Learning: Proficiency in using data science and machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Foundational models, LLMs, prompt engineering, and model tuning.
- Data Analysis and Modeling: Expertise in handling and analyzing large datasets, applying data mining and predictive modeling techniques to extract insights and inform decision-making.
- Database Management: Familiarity with database technologies, including both SQL and NoSQL, and experience with big data technologies such as Hadoop and Spark.
- Cloud Computing: Knowledge of cloud computing platforms and experience with big data technologies.
- Collaboration and Communication: Ability to work closely with cross-functional teams, including stakeholders and non-technical personnel, to translate complex data insights into actionable business strategies. Experience with agile methodologies and project management tools may also be beneficial.
In this role, you will be expected to demonstrate a deep understanding of algorithms, data structures, and software engineering principles, as well as the ability to apply these skills to drive business value through data-driven insights and AI solutions.
Required Technical and Professional Expertise
- Client-facing experience (to Identify a use case)
- Proven experience with Python coding (AI-focused)
- Proven experience working with Rest API
- Proven experience with Jupyter notebooks
- Build, train & validate models
- Experience with prompt engineering
- Monitor & retrain models
- Create Machine Learning pipelines and train models.
- Communicate effectively with line-of-business end-users to discover pain points and use cases, lead project definitions, and convey the business value of the project
Preferred Technical and Professional Expertise
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