Senior AI/ML Solutions Architect

2 weeks ago

Rajahmundry, Andhra Pradesh, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Senior AI/ML Solutions Architect

About the Role:

We are seeking a highly skilled and experienced Senior AI/ML Solutions Architect to join our team. The ideal candidate will have a strong background in machine learning, data science, and software development.

Key Responsibilities:

  • Design and develop AI/ML solutions that drive business value and improve decision-making capabilities.
  • Collaborate with cross-functional teams to deliver robust and reliable AI/ML solutions in cloud environments.
  • Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.
  • Mentor junior team members, provide guidance on modelling practices, and contribute to an environment of continuous learning and improvement.

Requirements:

  • 4-7 years of relevant experience in building AI/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 analysis, credit risk assessment and scoring models, fraud detection and transaction risk modeling, 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.
  • Ability to bridge technical solutions with business impact and drive value through data science initiatives.

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