Business Intelligence and AI Expert

2 days ago

Kottayam, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Business Intelligence and AI Expert

This is a unique opportunity to collaborate with clients in driving business growth through data-driven insights and AI/ML solutions.

Key Responsibilities:
  • Partner with clients to understand their business objectives and challenges, leveraging data analysis and machine learning techniques to deliver actionable recommendations and tangible value.
  • Translate complex business needs into well-defined problem statements and solution workflows, ensuring seamless integration with clients' operations.
  • Solve intricate business problems using advanced analytics and machine learning methods, including exploratory data analysis, feature engineering, and model development.
  • Design and implement scalable ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Collaborate with cross-functional teams to develop robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
  • Communicate effectively with clients at various stages of engagement, presenting data-driven insights and services.
  • Mentor junior team members, providing guidance on modeling practices and contributing to an environment of continuous learning and improvement.
Requirements:
  • 4 to 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, with experience working on 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 a Tier 1 institute.
  • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, and 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 the Agentic AI space.
  • Strong problem-solving capabilities and 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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