remoteonsite
AI Engineer - CGI
AI Engineer
AI Engineer building scalable ML solutions on AWS, designing data pipelines, and deploying NLP models to drive business insights and automation.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning models using Python and AWS services (SageMaker, Lambda, S3).
- Build and maintain robust data pipelines for feature engineering and model training.
- Collaborate with data scientists and product teams to translate business problems into ML solutions.
- Implement NLP techniques for text analytics, sentiment analysis, and automated content generation.
- Monitor model performance, troubleshoot issues, and iterate for continuous improvement.
Requirements
- Strong programming skills in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience with AWS ML services and infrastructure automation.
- Solid understanding of data engineering concepts and ETL processes.
- Experience with NLP frameworks (spaCy, Hugging Face) is a plus.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawsnlp