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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead automation initiatives for modern data pipelines, workflows, applications, ML model release, build/testing
- Develop and productionize features and models in collaboration with data engineers and data scientists
- Ensure robust alerting, monitoring, and observability for cloud solutions
- Design, build, and operationalize Natural Language Processing (NLP) and Large Language Model (LLM) platforms
- Build scalable systems that meet Service Level Agreement (SLA) / Service Level Objective (SLO) requirements
- Mentor junior developers and raise team standards for reproducibility, documentation, and governance
Requirements
What you’ll need- Bachelor’s degree or higher
- 10+ years of experience in full stack development
- 10+ years of programming experience
- 5+ years of experience in developing or deploying analytical models, forecasts, or automations
- Experience with Artificial Intelligence (AI) hardware and software integration
- Experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies
- Experience in handling data and systems involving machine learning/predictive analytics
Benefits
Comp & perks- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid and unpaid time away from work
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
full stack developmentNatural Language ProcessingLarge Language Modelcloud solutionsautomationanalytical modelspredictive analyticsArtificial IntelligenceMachine Learningdata pipelines
Soft Skills
mentoringteam standardsdocumentationgovernance
Certifications
Bachelor’s degree
