Artificial Intelligence & Machine Learning Engineer
First seen by Alion on Oct 15, 2026.
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.
Skills
Machine Learning, Artificial Intelligence, Python, Tensorflow, PyTorch, NLP, Computer Vision, Predictive Analytics, R