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Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQL
About the role
Key responsibilities & impact- Build and deploy a wide range of AI solutions end-to-end
- Own the full lifecycle of every solution
- Collaborate closely with the AI Platform team
- Communicate progress and findings clearly
- Produce lightweight documentation and run enablement sessions
Requirements
What you’ll need- Strong Python skills
- Practical experience across the AI/ML spectrum (forecasting, classification, regression, LLMs)
- Familiarity with Docker/K8s or MLOps tooling
- Working knowledge of cloud platforms (AWS, GCP, Azure)
- Knowledge of REST APIs (FastAPI or similar)
- SQL for data access and integration
Benefits
Comp & perks- Health Insurance
- Flexible work arrangements
- Professional development opportunities
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
PythonAIMLforecastingclassificationregressionLLMsDockerK8sSQL
Soft Skills
collaborationcommunicationdocumentationenablement
