Chief Data Insights Architect

2 days ago

Hubli, Karnataka, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Lead AI/ML Solutions Consultant

Key Responsibilities:

  • Drive business value by providing data-driven recommendations and AI/ML solutions to clients, enhancing decision-making and delivering tangible outcomes.
  • Translate business needs into well-defined machine learning problem statements and solution workflows, focusing on financial services domains such as marketing, risk, compliance, and customer lifecycle management.
  • Solve complex business problems using analytics and machine learning techniques, including exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
  • Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization, using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
  • Communicate technical solutions effectively to both internal and client-facing stakeholders, highlighting business impact and driving value through data science initiatives.
  • Stay current with developments in AI, ML modelling, and data engineering best practices, integrating them into project work.
  • Mentor junior team members, provide guidance on modelling practices, and contribute to an environment of continuous learning and improvement.

Job 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 for product cross-sell/up-sell and campaign optimization, customer churn and retention analysis, credit risk assessment and scoring models, fraud detection and transaction risk modeling, and customer segmentation for personalized targeting.
  • Experience in developing traditional ML models across business functions such as risk, marketing, customer segmentation, and forecasting.
  • 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.

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