Educational Qualifications

- B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.
- Qualified certification in machine learning or deep learning preferred.
- Research papers, case studies, or significant open-source contributions(are preferred)

Experience

- 4-7 years of hands-on experience in developing and fine-tuning AI/ML models.
- Practical exposure to NLP, computer vision, or predictive analytics projects.
- Demonstrated experience in implementing AI solutions using open-source or cloud frameworks.

Key Responsibilities

- Develop, train, and optimize AI/ML models for various use cases such as text summarizrtion, image matching, and speech recognition.
- Implement feature engineering pipelines and data pre-processing modules.
- Conduct experiments and document results to improve model accuracy and latency.




- Collaborate with Data Scientists and Engineers to deploy AI models in production.
- Perform error analysis and debugging to improve model stability.
- Ensure model outputs comply with Responsible Al guardrails and data protection norms.
- Support integration of AI components into existing government applications.

Technical Competencies

- Programming Languages: Python, CH, R.
- Frameworks: PyTorch, TensorFlow, Keras, Hugging Face.
- Libraries: pandas, NumPy, OpenCV, spaCy, Transformers.
- Data Handling: SQL, NoSQL, data augmentation techniques.
- Cloud & Tools: Docker, SageMaker, MLflow, Git.
- Evaluation Metrics: Fl, BLEU, ROUGE, AUC, precision-recall curves.

📌 AI/ML Engineer (New Delhi)
🏢 Wits Innovation Lab
📍 New Delhi