Senior AI Model Architect

2 weeks ago


Delhi, Delhi, India beBeeArtificialintelligence Full time ₹ 30,40,000

About the Role

We are seeking a Senior AI Model Architect to design, develop and deploy advanced AI/ML models that drive meaningful business outcomes in Ed-Tech contexts.

Key Responsibilities

  • Design, develop and optimize AI and machine learning models and algorithms.
  • Build Ed-Tech-specific use cases such as question generation, auto-evaluation systems, adaptive learning engines, AI tutors and automated answer sheet grading.
  • Integrate AI models with both frontend interfaces and backend server logic.
  • Handle structured and unstructured data using SQL and NoSQL databases.
  • Ensure high standards of data security, privacy and compliance.
  • Write clean, testable and scalable code with unit test coverage.
  • Ensure performance, reliability and scalability of AI systems.
  • Collaborate with cross-functional teams (developers, data scientists, product managers etc.).
  • Provide technical mentorship to junior engineers and contribute to team growth.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering or a related field.
  • 4-6 years of hands-on experience in AI/ML development with a proven track record of successful projects.
  • Strong experience in Generative AI, time series forecasting, recommendation systems and real-world AI solutions.
  • Proficiency in Python and ML frameworks like TensorFlow, PyTorch, scikit-learn.
  • Solid understanding of machine learning algorithms, data structures, model tuning and evaluation metrics.
  • Experience working with Knowledge Graphs is a plus.
  • Familiarity with Docker and containerized deployments.
  • Proficient in developing and maintaining microservices-based architectures.
  • Strong testing skills using platforms like unittest or similar for automated testing.
  • Excellent communication, documentation and team collaboration skills.

Preferred (Good to Have)

  • Prior experience in Ed-Tech or working on AI solutions tailored for learning environments.
  • Hands-on experience in deploying AI solutions to production environments.
  • Active contributions to open-source projects or a well-maintained GitHub portfolio.
  • Experience with cloud platforms like AWS, Google Cloud or Azure.

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