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Senior AI/ML Innovation Lead

2 weeks ago

Alwar, Rajasthan, India beBeeMachinelearningengineer Full time US$ 1,50,000 - US$ 2,00,000

About the Opportunity:

We are seeking a highly skilled and innovative Senior AI/ML Engineer to develop cutting-edge machine learning solutions. The ideal candidate will have a strong foundation in linear algebra, calculus, probability, and statistics, as well as expertise in Python and SQL.

Key Responsibilities:

  • Design, develop, optimize, and deploy robust ML models and pipelines into production using strong Python and SQL expertise.
  • Architect and implement innovative, scalable AI solutions that leverage agent-driven architectures and frameworks.
  • Leverage mathematical concepts to solve complex machine learning problems and drive business value.
  • Hands-on implementation of various ML algorithms, including Linear/Logistic Regression, Tree-based models (XGBoost), Clustering, and Anomaly Detection.
  • Apply geometric computation and 3D spatial reasoning to unique problem domains.
  • Champion software excellence through Test-Driven Development (TDD) and contribute to cloud-native AWS infrastructure.
  • Collaborate cross-functionally as a senior technical member, driving projects from conception to deployment.

Requirements:

  • 5+ years of proven experience as a hands-on Senior AI/ML Engineer or Senior Developer with a strong portfolio of creative problem-solving.
  • Expert-level proficiency in Python and SQL, with hands-on experience in designing or implementing agent-driven architectures or frameworks.
  • Solid familiarity with Test-Driven Development (TDD) practices and experience with deploying models on cloud platforms, preferably AWS.
  • A background in applying geometric concepts, simulations, or spatial reasoning through code, with a strong understanding of linear algebra, calculus, probability, and statistics.

Nice to Have:

  • Experience with reinforcement learning (RL) or autonomous agents.
  • Familiarity with modern MLOps tools and practices, such as Docker, Kubernetes, MLflow, and SageMaker.