Designation: AI / ML Engineer Educational Qualification:

- 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 prefered)

- 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: 1. Develop, train, and optimize AI/ML models for various use cases such as text 2. summarization, 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 AI 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.

Required Skills

['Python', 'Pandas', 'SQL']

Additional Information

Use public JD while sourcing.

📌 AI / ML Engineer (Bawana)
🏢 HuntingCube
📍 Bawana