Senior AI Engineer / Data Scientist

Experience : 46 years

Compensation : ?3040 LPA

Location : Delhi

About Us :

We are at the forefront of Ed-Tech innovation, focused on transforming education through cutting-edge AI and machine learning technologies. We are currently seeking a Senior AI Engineer / Data Scientist to join our growing team. If you are passionate about solving real-world problems using AI, wed love to connect with you.

Job Description :

As a Senior AI Engineer / Data Scientist, you will be responsible for designing, building, and deploying advanced AI/ML models that create meaningful business impact. You will work on a range of AI-driven initiatives, especially in Ed-Tech contexts such as automated question generation, assessment engines, personalized learning solutions, AI tutors, and auto-grading of answer sheets.

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.