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 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.