Data Science and AI Leader

2 weeks ago

Pushkar, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Summary

We are seeking an experienced professional to lead our data science and AI efforts. The successful candidate will have a strong background in machine learning modeling and deployment, with experience working on problems related to marketing analytics, customer churn and retention analysis, credit risk assessment, fraud detection, and customer segmentation.

Key Responsibilities

  • Engage with clients to understand their business objectives and challenges, providing data-driven recommendations and AI/ML solutions that enhance decision-making and deliver tangible value.
  • Translate business needs into well-defined machine learning problem statements and solution workflows.
  • Solve business problems using analytics and machine learning techniques, including exploratory data analysis, feature engineering, and model development.
  • 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.
  • Be a master storyteller for our services and solutions to our clients at various stages of engagement.
  • Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.
  • Mentor junior team members, provide guidance on modelling practices, and contribute to an environment of continuous learning and improvement.

Required Skills and Qualifications

  • 4-7 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.
  • 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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