Support the development and maintenance of data driven agentic solutions
Collaborate across teams to learn and apply established best practices and reusable components
Execute analytical and modeling tasks as part of a larger project team
Review and discuss AI/modeling techniques and results with peers and mentors
Assist in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes

Requirements

0 to 2 years of relevant experience
Bachelors or master's in data science, STEM sciences or related field
One plus year(s) of professional/practical experience as Data Scientist, Machine Learning Engineer, Applied Research professional, or relevant and impactful business internships experience
Strong theoretical exposure or practical experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources
Strong understanding of CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices
Exposure or practical experiences in Azure Foundry, or AWS Bedrock
Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK)

Benefits

Health insurance
401(k) matching
Flexible working hours
Paid time off
Remote work options

Applicant Tracking System Keywords

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

Hard Skills & Tools

data sciencemachine learningpredictive modelingInfrastructure as Code (IaC)CI/CD pipelinescontainerizationDockercloud securityAI agent developmentframeworks

Soft Skills

collaborationanalytical skillscommunicationteamworkproblem-solving