AI / ML Engineer

Job Description
Designation: AI / ML Engineer Educational Qualification:
B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.
Professional 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. 3. Implement feature engineering pipelines and data pre-processing modules. 4. Conduct experiments and document results to improve model accuracy and latency. 5. Collaborate with Data Scientists and Engineers to deploy AI models in production. 6. Perform error analysis and debugging to improve model stability. 7. Ensure model outputs comply with Responsible AI guardrails and data protection norms. 8. 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.

Work arrangement
No