
Innovative AI Solutions Developer
7 hours ago
A leading provider of innovative AI data solutions is at the forefront of AI and ML innovation.
We develop cutting-edge, cloud-native data solutions that tackle complex challenges and drive the future of intelligent technology.
Our core innovation hub is located in Hyderabad, and we're looking for brilliant minds to join our mission.
The Opportunity:
We are seeking a highly creative and hands-on Senior AI/ML Engineer to join our dynamic team.
This is not just another modeling role.
We need a problem-solver who thrives on building from the ground up—someone passionate about designing agent-driven architectures and inventing new frameworks to solve real-world problems.
If you love turning complex mathematical concepts into production-ready, scalable solutions, this is the role for you.
Job Responsibilities:
- 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 AWS infrastructure.
- Collaborate: Work cross-functionally as a senior technical member, driving projects from conception to deployment.
What We Look For:
- 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 (e.g., Docker, Kubernetes, MLflow, SageMaker).
- A background in a research-heavy or innovation-focused environment.
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