Lead AI Developer

1 day ago

Kolkata, West Bengal, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,20,00,000
Job Title: Data Science and AI Manager

Job Overview

  • Our organization is seeking a skilled AI Leader to oversee the development of innovative machine learning solutions that deliver tangible value.

Key Responsibilities:

  • Strategic Collaboration: Engage with clients to understand their business objectives and challenges, providing data-driven insights and AI/ML solutions that enhance decision-making.
  • Problem Definition: Translate business needs into well-defined machine learning problem statements and solution workflows.
  • Data Analysis and ML: Utilize analytics and machine learning techniques to solve business problems: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
  • Model Development: Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
  • Pipeline Engineering: Design and implement scalable, cloud-native ML pipelines using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Collaboration: Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
  • Storytelling: Be a master storyteller for our services and solutions to our clients at various stages of engagement using data-driven insights.
  • Knowledge Enhancement: Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.
  • Mentorship: Mentor junior team members, provide guidance on modelling practices, and contribute 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 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, credit risk assessment, fraud detection, and customer segmentation.
  • 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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