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Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Build and productionize AI-enabled applications on the Azure + Databricks platform
- Leverage software engineering and machine learning knowledge to create innovative solutions
- Collaborate with stakeholders to identify business needs and deliver impactful workflows
- Develop and integrate LLM-powered agents to enhance user experiences
- Confirm the quality and reliability of AI applications through rigorous testing
- Analyze data to inform the development of AI solutions
- Mentor junior engineers and promote knowledge sharing within the team
- Stay abreast of advancements in AI and machine learning technologies
Requirements
What you’ll need- Bachelor's Degree
- 4+ years of experience in software engineering, data engineering, ML engineering, or applied AI
- Strong Python and SQL
- Experience with Azure and Databricks in production
- Solid engineering fundamentals: Git, CI/CD basics, logging/monitoring, secure secrets/access patterns
- Strong communication skills and comfort working with business stakeholders
Benefits
Comp & perks- Dynamic and digitally enabled training designed to grow technical and professional skills
- Mentorship opportunities within the Data and Analytics Engineering team
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
PythonSQLmachine learningAI applicationsdata engineeringML engineeringGitCI/CDloggingmonitoring
Soft Skills
communicationcollaborationmentoringknowledge sharing
Certifications
Bachelor's Degree