AI Strategist

15 hours ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,50,00,000

Job Overview

  • We are seeking an experienced Data Scientist and AI professional to join our team. This individual will play a key role in driving business growth through data-driven insights and innovative AI solutions.

Key Responsibilities

  • Collaborate with clients to understand business objectives, provide data-driven insights, and develop AI solutions that enhance decision-making.
  • Translate business needs into machine learning problem statements and solution workflows.
  • Apply analytics and machine learning techniques to solve business problems: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
  • Develop and deploy scalable cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Work collaboratively with cross-functional teams to deliver robust solutions in cloud environments.
  • Communicate complex data insights to stakeholders at various stages of engagement.
  • Stay current with developments in AI, ML modelling, and data engineering best practices.
  • Contribute to a culture of continuous learning by mentoring junior team members.

Requirements

  • 4-7 years of experience in building ML solutions, with a strong foundation in machine learning modeling and deployment.
  • Strong exposure to banking, payments, fintech, or Wealth/Asset management domains.
  • Experience working on problems related to marketing analytics, customer churn, credit risk assessment, fraud detection, 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.
  • Eagerness to learn and familiarity with developments in the Agentic AI space.
  • Strong problem-solving capabilities and effective communication skills.

Skills and Qualifications

  • Expertise in Python and AI/ML libraries.
  • Strong knowledge of machine learning modeling and deployment.
  • Experience working with cloud platforms and APIs.
  • Ability to communicate complex data insights to stakeholders.
  • Collaborative team player with strong problem-solving skills.

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