Senior Data Solutions Developer

1 day ago

Ajmer, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Overview

As a senior AI/ML Engineer, you will play a pivotal role in designing and developing cutting-edge, cloud-native data solutions that tackle complex challenges and drive the future of intelligent technology.

Our team seeks a highly creative and hands-on 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.

Key Responsibilities:

  • Design and Development: End-to-end ownership of ML models and pipelines into production using strong Python and SQL expertise.
  • Innovation: Architect and implement innovative, scalable, agent-driven AI solutions. We value creative problem-solving and the ability to think beyond standard libraries.
  • Mathematical Foundations: Leverage a strong foundation in linear algebra, calculus, probability, and statistics to solve challenging ML problems.
  • Algorithm Implementation: Hands-on implementation of a variety of ML algorithms, including Linear/Logistic Regression, Tree-based models (XGBoost), Clustering, and Anomaly Detection.
  • Geometric Computation: Apply geometric computation and 3D spatial reasoning to unique problem domains—a key advantage in this role.
  • Software Excellence: Champion software excellence through Test-Driven Development (TDD) and contribute to our cloud-native AWS infrastructure.
  • Cross-Functional Collaboration: Work cross-functionally as a senior technical member, driving projects from conception to deployment.

Requirements:

  • 5+ years of experience as a senior AI/ML engineer or senior developer with a strong practical background and creativity.
  • 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.

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 US AI leader with a strong presence in Hyderabad.

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