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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Build and maintain end-to-end training pipelines, including versioning, testing, and deployment of ML models;
- Implement MLOps practices for automation, monitoring, and maintenance of models in production;
- Work in partnership with AI Scientists to turn experiments into production-ready solutions.
Requirements
What you’ll need- Strong knowledge of SQL and Python;
- Experience with numerical analysis and modeling;
- Experience in data product management, ensuring technical solutions address real business problems;
- Willingness and strong engagement to explore and participate in use cases involving Generative AI;
- Good stakeholder communication skills, with the ability to document, translate, and communicate complex insights to audiences with diverse backgrounds;
- Ability to conduct consistent and clear quantitative analyses, from problem framing through to executive presentation of results;
- Autonomy to write code and build functional prototypes without direct dependence on software engineers;
- Collaborative mindset with concise communication and active listening to value different perspectives.
Benefits
Comp & perks- Market-competitive compensation
- Health insurance
- Dental insurance
- Private pension plan
- Flexible benefits tailored to your needs
- Meal allowance
- Financial counseling
- Employee perks program
- Home office allowance
- Mobility/transportation allowance
- Childcare assistance
- Life insurance
- Extended leave
- Wellness and fitness incentives
- Payroll-deductible loans with reduced rates
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
Numerical AnalysisModelingQuantitative AnalysisCode WritingFunctional Prototyping
Soft Skills
Stakeholder CommunicationConcise CommunicationActive ListeningCollaboration
