AI and Machine Learning Manager

2 days ago

Salem, Tamil Nadu, India beBeeDataScience Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Key Data Science and AI Role

We are seeking a skilled professional to lead our data-driven initiatives. As a key member of the organization, you will be responsible for delivering solutions that enhance decision-making and drive business value.

Job Responsibilities:

  • Engage with clients to understand their business objectives and challenges, providing actionable insights and recommendations that drive tangible results.
  • Translate complex business needs into well-defined machine learning problem statements and solution workflows.
  • Solve business problems using advanced analytics and machine learning techniques, including exploratory data analysis, feature engineering, and model development.
  • Develop and deploy machine learning 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 such as AWS, Azure, or GCP.
  • Communicate complex technical concepts to non-technical stakeholders, driving business impact through data science initiatives.
  • Stay current with developments in AI, ML modelling, and data engineering best practices, integrating them into project work.

Requirements:

  • 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, with experience working on problems related to marketing analytics, customer churn and retention, 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.

What We Offer:

  • A collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.
  • The chance to work on cutting-edge projects and contribute to the growth of a leading organization.

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