AI / ML Engineer

Job highlights

• 4-7 years of hands-on experience in developing and fine-tuning AI / ML models

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:

1. Develop, train, and optimize AI/ML models for various use cases such as text summarization, 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 AI guardrails and data protection norms.

7. 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.

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