Collaborate with stakeholders across engineering, operations, and business teams to capture and document requirements for AI/ML and agentic AI projects.
Assist in prototyping and developing AI/ML models and intelligent agents using platforms such as Microsoft Copilot Studio, Python, and cloud-based tools (Azure, GCP).
Lead or support strategic meetings with internal teams to ideate AI use cases, present solution options, and align initiatives with business goals.
Prepare executive-level presentations, reports, and documentation

Requirements

Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field
1–2 years of experience in data science, machine learning, or AI (including internships or academic projects)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)
Familiarity with SQL and data visualization tools (e.g., Power BI)
Exposure to agentic AI platforms (e.g., Microsoft Copilot Studio, Google AgentSpace) is a plus.
Strong communication and interpersonal skills

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningdata scienceSQLTensorFlowPyTorchdata visualizationAI/ML modelsintelligent agentsagentic AI

Soft Skills

communicationinterpersonal skillscollaborationleadershiporganizational skills

Certifications

Bachelor’s degree in Data ScienceBachelor’s degree in Computer ScienceBachelor’s degree in Engineering