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AI Software Developer Senior
1 day ago
Role Summary
The AI Engineer will lead the development and deployment of machine learning models that drive business growth and improve customer experiences.
This role requires a strong understanding of machine learning concepts, experience with developing and deploying machine learning models, and excellent collaboration skills to work closely with Data Scientists, Business Analysts, and Solution Architects.
The successful candidate will have experience with reinforcement learning or advanced machine learning techniques, as well as a strong understanding of machine learning algorithms, deep learning architectures, and model optimization techniques.
Key Responsibilities:
- Lead the development and deployment of machine learning models that address specific business needs
- Work with Data Engineers to ensure that data is properly processed, cleaned, and transformed for AI model training and testing
- Continuously monitor and optimize AI models in production to ensure they meet performance targets and deliver expected business value
- Design and maintain scalable and efficient AI pipelines, ensuring that models are deployed and maintained across all OpCos with minimal disruptions
- Collaborate with ML Ops Engineers to ensure that AI models are deployed reliably and can be scaled across multiple regions (OpCos)
- Diagnose and resolve issues in AI models and pipelines, ensuring that solutions continue to perform in changing business and technical environments
Requirements
- Bachelor's degree in computer science, Engineering, or related field (Master's degree in AI, Machine Learning, or Data Science preferred)
- 5+ years of experience in AI or machine learning engineering roles, including hands-on experience with developing and deploying machine learning models
- Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn
- Experience with cloud-based AI platforms (e.g., AWS, Google Cloud, Azure AI)
- Familiarity with data engineering processes and data pipeline development
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