AcadAlly - Senior AI Engineer/Data Scientist

Senior AI Engineer / Data Scientist

About Us

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

• Bachelors or Masters 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.