Educational Qualification:

- B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.

- Skilled 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 AIIML models.

- Practical exposure to NLP, computer vision, or predictive analytics projects.

- 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:

- 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, NLP, Computer vision, experience in implementing Al solutions using open-source or cloud frameworks, Python, PyTorch, TensorFlow, Keras, Hugging Face, pandas, NumPy, OpenCV, spaCy, Transformers, SQL, NoSQL, data augmentation techniques, Docker, SageMaker, MLflow, Git, Fl, BLEU, ROUGE, AUC, precision-recall curves.

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