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Tech Stack
Tools & technologiesFlaskPythonTypeScript
About the role
Key responsibilities & impact- conduct statistical analyses on business processes using ML techniques
- train, test, deploy, and maintain models that learn from data
- own and define the direction of critical solutions by applying best-fit ML algorithms and technologies
- collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world-class solutions
Requirements
What you’ll need- 3+ years of experience in software engineering, applied AI and ML, or full-stack development, including AI integrations
- Experience rapidly prototyping, developing, and iterating on use-case-specific AI solutions such as chat systems, user-facing applications, and domain-specific copilots
- Experience conducting comprehensive evaluation and tuning of AI outputs, including refining prompts, optimizing retrieval logic, and implementing custom heuristics
- Experience with Python and building API endpoints such as FastAPI or Flask or rapid UI frameworks such as Streamlit or Gradio to demonstrate AI capabilities
- Ability to work closely with Mission Integration teams and product stakeholders to translate mission needs into refined, business-facing AI capabilities
- Ability to pivot quickly between different domains and use cases, adapting AI solutions to diverse operational requirements
- Bachelor's degree
Benefits
Comp & perks- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical analysismachine learningmodel trainingmodel deploymentAPI developmentPythonFastAPIFlaskStreamlitGradio
Soft Skills
collaborationproblem-solvingadaptabilitycommunicationstakeholder engagement
Certifications
Bachelor's degree
