Job highlights

- B.Tech/M.Tech in CS, AI, or Data Science with ML/DL certification and 4-7 years experience in AI/ML model development and NLP, computer vision projects
- Develop, train, and optimize AI/ML models; implement feature engineering; conduct experiments; collaborate on deployment; ensure compliance with Responsible AI norms; support AI integration in government apps

Educational Qualification:
1. B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.
2. Skilled certification in machine learning or deep learning preferred.
3. Research papers, case studies, or significant open-source contributions(are preferred)

Experience
1. 47 years of hands-on experience in developing and fine-tuning AIIML models.
2. Practical exposure to NLP, computer vision, or predictive analytics projects.
3. Demonstrated experience in implementing Al solutions using open-source or cloud frameworks.

Key Responsibilities
1. Develop, train, and optimize AI/ML models for various use cases such as text summarizrtion, image matching,



and speech recognition.
2. Implement feature engineering pipelines and data pre-processing modules.
3. Conduct experiments and document results to improve model accuracy and latency.
4. Collaborate with Data Scientists and Engineers to deploy AI models in production.
5. Perform error analysis and debugging to improve model stability.
6. Ensure model outputs comply with Responsible Al guardrails and data protection norms.
7. Support integration of AI components into existing government applications.

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

📌 Ai Ml Engineer (Delhi)
🏢 CoRover
📍 Delhi