Data Innovation Leader

6 days ago

Ajmer, Rajasthan, India beBeeMachineLearning Full time ₹ 13,94,000 - ₹ 22,49,000
Job Title: Data Scientist

Transform the Insurance Industry with Applied AI.

Join our diverse team of professionals to create mission-critical AI systems solving hard science problems.

Job Summary:

As an Applied Scientist, you will contribute to the design, development, and improvement of AI/ML models and systems, working closely with cross-functional teams to deliver scalable solutions in production.

Key Responsibilities:
  • Design and develop AI/ML models, workflows, and end-to-end pipelines for data preparation, training, deployment, monitoring, etc.
  • Ensure the quality of architecture and design of ML models and systems.
  • Deliver customer-facing and/or underlying AI/ML solutions empowering our platform to provide the best experience for customers.
Requirements:
  • Master's in Computer Science, Machine Learning, or related quantitative field (PhD a strong plus).
  • Extensive knowledge and practical experience in machine vision, information retrieval, and natural language processing.
  • Demonstrated experience building scalable AI/ML models and systems, delivering end-to-end solutions in production environments.
  • Experience programming in Python, C++, or related languages.

We are a global employer of choice, backed by a world-class culture, fostering collaboration, transparency, autonomy, and continuous learning. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy, and continuous learning.

Our organization is responsible for building products for the automotive industry, leveraging high-quality input capture mechanisms, state-of-the-art damage assessment stacks, and explainable decision-making engines.

Why Choose Us?
  • World-leading insurance and automotive companies rely on our AI tool as their go-to solution.
  • Unleash the potential of Applied AI to transform the whole recovery ecosystem.
  • Shape the technical foundations used across all products, currently focused on auto insurance and natural disaster recovery.

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