Neural system and intelligence developer
CoDaGraM X ShunyAi
Pune City, Maharashtra, India2h agovia LinkedIn
About the Role
The Neural System and Intelligence Developer is a full-time, on-site role based in Pune City. This role involves designing, developing, and optimizing neural architectures and intelligent systems that power Codagram X ShunyAi’s educational and AI-driven products.
Key Responsibilities
- Work closely with educators, product managers, and data teams to translate learning requirements into scalable AI solutions.
- Build and evaluate models.
- Integrate models into production environments.
- Experiment with new algorithms.
- Implement pipelines for data preprocessing and model training.
- Monitor system performance.
- Document technical designs and research findings.
- Collaborate in code reviews.
- Contribute to architectural decisions.
- Support continuous improvement of AI features that enhance learner experience and personalization.
Requirements & Tech Stack
- Strong skills in artificial intelligence, machine learning, and deep learning, including experience with neural network architectures and model optimization.
- Proficiency in programming languages such as Python (and optionally C++ or Java).
- Experience using ML frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of data structures, algorithms, and software engineering best practices, including version control (e.g., Git) and collaborative development workflows.
- Experience in data processing and analysis, including working with large datasets, feature engineering, and evaluation metrics for AI and ML models.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
- Knowledge of applied AI domains such as natural language processing, computer vision, recommendation systems, or generative AI is highly beneficial.
- Ability to communicate complex technical concepts clearly.
- Ability to collaborate in cross-functional teams.
- Ability to document work in a structured, reproducible manner.
- Interest in education technology.
- Commitment to building responsible, inclusive, and learner-centric intelligent systems.