AI / ML Engineer

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:

- Develop, train, and optimize AI/ML models for various use cases such as text 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, C#, 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: F1, BLEU, ROUGE, AUC, precision-recall curves.