About The Position
AI Solution Development & Analytics Analyze business processes to identify opportunities where AI/ML and automation can deliver value. Develop, validate, and deployment of AI and machine learning models Assist in data preparation, feature engineering, and exploratory data analysis to support modeling efforts Monitor model performance post-deployment and recommend improvements Partner with product owners, AI Hub, Ops Hub, Platform teams, and business units to understand requirements and ensure AI solutions meet business goals. Translate complex technical concepts into clear insights for non-technical stakeholders Work with data engineering teams to integrate AI models into scalable production workflows Support responsible and ethical AI practices in line with enterprise governance frameworks Participate in testing, validation, and documentation to ensure model accuracy, fairness, and compliance
Requirements
- Proficiency with programming languages such as Python or R and experience with AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong data manipulation and analysis skills, including SQL and data visualization tools (Power BI).
- Graduating in Dec 2025 (U.S.)
- Minimum cumulative GPA of 3.0 or better
- Does not require sponsorship for employment visa status (now or in the future) in the country where applying.
Nice To Haves
- Familiarity with cloud platforms (Azure) and data engineering concepts is a plus
Responsibilities
- Analyze business processes to identify opportunities where AI/ML and automation can deliver value.
- Develop, validate, and deployment of AI and machine learning models
- Assist in data preparation, feature engineering, and exploratory data analysis to support modeling efforts
- Monitor model performance post-deployment and recommend improvements
- Partner with product owners, AI Hub, Ops Hub, Platform teams, and business units to understand requirements and ensure AI solutions meet business goals.
- Translate complex technical concepts into clear insights for non-technical stakeholders
- Work with data engineering teams to integrate AI models into scalable production workflows
- Support responsible and ethical AI practices in line with enterprise governance frameworks
- Participate in testing, validation, and documentation to ensure model accuracy, fairness, and compliance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
