Data Science and AI Professional

2 weeks ago

Vadodara, Gujarat, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Data Science and AI Specialist

  • This is a high-impact role that involves working with clients to understand their business objectives and challenges, providing data-driven recommendations and AI/ML solutions that enhance decision-making and deliver tangible value.

Key Responsibilities:

  1. Engage with clients to translate business needs into well-defined machine learning problem statements and solution workflows.
  2. Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
  3. Collaborate with cross-functional teams to design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  4. Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.

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.
  • 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.

Benefits:

  • Opportunity to work on high-impact projects and contribute to the growth of the company.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.

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