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Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Provide technical leadership for projects, POCs, POVs, and MVPs in AI & Data
- Translate business challenges into scalable, viable solution architectures
- Define appropriate approaches for Machine Learning, classical AI, and GenAI according to each context
- Design solutions for hybrid environments (on-premises + cloud)
- Evaluate trade-offs between performance, cost, governance, and complexity
- Serve as a technical reference and mentor more junior professionals
- Support technical discussions with clients and internal teams
Requirements
What you’ll need- Solid experience as a Senior Data Scientist / Tech Lead
- Strong applied ML experience: fraud detection, anomaly detection, forecasting, clustering, predictive maintenance, among others
- Hands-on experience with hybrid solutions and on-premises execution
- Ability to design solutions that consider physical infrastructure (workstations, servers, and GPUs)
- Pragmatic, decision-oriented profile focused on business impact
- Excellent communication skills and a collaborative attitude
- Strong hands-on experience with Python
- English proficiency
Benefits
Comp & perks- Public sector
- Vacation period
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
Machine Learningfraud detectionanomaly detectionforecastingclusteringpredictive maintenancePythonsolution architecturehybrid solutionson-premises execution
Soft Skills
technical leadershipmentoringcommunication skillscollaborative attitudedecision-orientedbusiness impact focus
