AI Leader

2 weeks ago

Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,01,00,000
Lead Data Scientist - AI Innovator

We are seeking a highly skilled and experienced data scientist to lead the development of cutting-edge machine learning solutions that drive business value.

The successful candidate will have a strong foundation in machine learning modelling and deployment, with a proven track record of delivering robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.

  • Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
  • Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments.
  • Stay current with developments in AI, ML modeling, and data engineering best practices, and integrate them into project work.
  • Mentor junior team members, provide guidance on modeling practices, and contribute to an environment of continuous learning and improvement.
Requirements:
  • 4 to 7 years of relevant experience in building ML solutions, with a strong foundation in machine learning modelling and deployment.
  • Strong exposure to banking, payments, fintech or Wealth/Asset management domains, with experience working on problems related to marketing analytics, customer churn and retention analysis, credit risk assessment and scoring models, fraud detection and transaction risk modeling, and customer segmentation.
  • Bachelor's or Master's degree from a Tier 1 technical institute or MBA from Tier 1 institute.
  • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch.
  • Experience in end-to-end model development lifecycle: data preparation, feature engineering, model selection, validation, deployment, and monitoring.
  • Eagerness to learn and familiarity with developments in Agentic AI space.
  • Strong problem-solving capabilities and the ability to independently lead tasks or contribute within a team setting.
  • Effective communication and presentation skills for internal and client-facing interactions.
  • Ability to bridge technical solutions with business impact and drive value through data science initiatives.

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