
Senior AI/ML Data Architect
3 days ago
A leading provider of innovative data solutions is at the forefront of AI and ML.
We develop cutting-edge, cloud-native data solutions that tackle complex challenges and drive the future of intelligent technology.
We are looking for brilliant minds to join our dynamic team in a core innovation hub.
The OpportunityWe're seeking a highly creative Senior AI/ML Engineer to design, develop, and deploy robust ML models and pipelines into production.
This role involves building from the ground up—someone passionate about designing agent-driven architectures and inventing new frameworks to solve real-world problems.
Key Responsibilities:- Design, develop, optimize, and deploy robust ML models and pipelines using strong Python and SQL expertise.
- Innovate & Build: Architect and implement scalable, agent-driven AI solutions. We value creative problem-solving and the ability to think beyond standard libraries.
- 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 AWS infrastructure.
- Collaborate: Work cross-functionally as a senior technical member, driving projects from conception to deployment.
- 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.
- Experience with reinforcement learning (RL) or autonomous agents.
- Familiarity with modern MLOps tools and practices.
- A background in a research-heavy or innovation-focused environment.
- 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 US AI leader.
- Competitive Compensation: Attractive salary and benefits package.
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