
Senior AI Data Scientist
2 days ago
Immerse yourself in the exciting world of AI and Machine Learning as a Senior Engineer.
The OpportunityWe are seeking a highly skilled and creative problem-solver to join our dynamic team.
This is not just another modeling role. We need an expert who thrives on building from the ground up—someone passionate about designing agent-driven architectures and inventing new frameworks to solve real-world problems.
- End-to-End Ownership: Design, develop, optimize, and deploy robust ML models and pipelines into production using your strong Python and SQL expertise.
- Innovate & Build: Architect and implement innovative, scalable, agent-driven AI solutions.
- Apply Foundational Math: Leverage your strong foundation in linear algebra, calculus, probability, and statistics to solve challenging ML problems.
- Algorithm Mastery: Hands-on implementation of a variety of ML algorithms, including Linear/Logistic Regression, Tree-based models (XGBoost), Clustering, and Anomaly Detection.
- Geometric & Spatial Reasoning: Apply geometric computation and 3D spatial reasoning to unique problem domains—a key advantage in this role.
- Drive Best Practices: Champion software excellence through Test-Driven Development (TDD) and contribute to our cloud-native infrastructure.
- Collaborate: Work cross-functionally as a senior technical member, driving projects from conception to deployment.
What You'll Bring:
- 5+ years of proven experience as a hands-on Senior AI/ML Engineer or Senior Developer.
- Expert-level proficiency in Python and SQL.
- A demonstrated portfolio of creative problem-solving and the ability to independently devise new approaches.
- Hands-on experience in designing or implementing agent-driven architectures or frameworks.
- Solid familiarity with Test-Driven Development (TDD) practices.
- Experience with deploying models on cloud platforms; AWS is highly preferred.
- Strong background in applying geometric concepts, simulations, or spatial reasoning through code.
Nice to Have:
- Experience with reinforcement learning (RL) or autonomous agents.
- Familiarity with modern MLOps tools and practices.
Why Join Us?
- Impact: Work on groundbreaking projects that push the boundaries of AI.
- Innovation Culture: An environment that encourages independent thinking and rewards creative solutions.
- Growth: Be a part of a fast-growing AI leader.
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