AI/ML Solutions Engineer
Summary
Build and deploy production-grade AI/ML models and features, focusing on deep learning, MLOps, and end-to-end automation for measurable business impact.
Design build and deploy AI ML solutions that deliver measurable business value for products and services
Key Performance Indicators
- Deliver production-ready AI models
- Improve model accuracy and reliability
- Automate ML pipelines end-to-end
- Ship AI features on schedule
- Document and monitor model performance
Qualifications Required
- 5+ years of AI/ML engineering experience
- Hands-on experience with deep learning
- Strong software engineering and MLOps practices
- Experience deploying models to production
- Bachelor s/Master s in Computer Science or related field
Qualifications
- Python
- PyTorch or TensorFlow
- Machine learning
- NLP and computer vision
- MLOps (Docker, CI/CD)
- Model deployment (APIs)
- Data engineering and feature engineering
- Problem-solving
- Ownership and accountability
- Cross-functional collaboration