Assist in AI/ML model design, development, training, and testing within a multi‑disciplinary engineering team.
Responsibilities
Gain an understanding of typical AI/ML documentation and assist in preparing them.
Learn commonly used AI and software engineering tools and best practices (e.g., Git, ADO, Python libraries, ML frameworks, VSCode).
Provide basic support for AI and software development across various software environments and target hardware (e.g., Linux, Android, Windows).
Expand your AI/ML knowledge, including model development, data preparation, and evaluation techniques.
Participate as a member of a multi‑disciplinary engineering team.
Requirements
Enrolled in an accredited college or university pursuing a technical degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field
Nice to have: MS Office
Nice to have: Previous engineering or AI/ML project experience or internships
Nice to have: Ability to work effectively in a team environment
Design and implement distributed, event-driven data architectures on AWS, drive automation, and support enterprise architecture for Infosys Data and Analytics unit.
Locations (3)
Somerset, New Jersey, United States
South Brunswick, New Jersey, United States
Reston, Virginia, United States
Compensation
The estimated annual compensation for this role Somerset, NJ- $96021 to $124827 South Brunwick, NJ - $96021 to $124827 Reston, VA- $104637 To $136028
Responsibilities
Participate in customer discussions to gather and analyze system requirements for performance, security and scalability
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
AI Engineering internship for college students pursuing STEM degrees focusing on AI, ML, or software development.
Responsibilities
Gain an understanding of typical AI/ML documentation and assist in preparing them.
Learn commonly used AI and software engineering tools and best practices (e.g., Git, ADO, Python libraries, ML frameworks, VSCode).
Provide basic support for AI and software development across various software environments and target hardware (e.g., Linux, Android, Windows).
Expand your AI/ML knowledge, including model development, data preparation, and evaluation techniques.
Participate as a member of a multi-disciplinary engineering team.
Requirements
enrolled in an accredited college or university pursuing a technical degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field
Nice to have: MS Office
Nice to have: previous engineering or AI/ML project experience
Design, build, and deploy AI and machine learning solutions across the claims lifecycle and professional services operations.
Responsibilities
Assemble, cleanse, and model complex datasets
Design, build, evaluate, and deploy machine learning and AI solutions
Collect and structure data through business analysis and automated pipelines
Build and maintain analytical tools and reporting solutions
Create clear reports, dashboards, and presentations
Requirements
A degree in computer science, applied mathematics, statistics, data science, or a related quantitative field; or equivalent demonstrable experience in a data science or applied science role
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy