Developer Technology Engineer pushing boundaries of AI and computing at NVIDIA. Collaborate with teams to develop next - generation software platforms and performance optimization.
About the role
- Senior AI Engineer building and deploying AI/ML solutions in production for a consulting firm. Collaborating with engineering and product teams to deliver scalable AI systems and stay updated on AI advancements.
Responsibilities
- Build and deploy AI/ML solutions in production
- Integrate and work with large language models (LLMs)
- Work with APIs and LLM endpoints for model interaction and prompt engineering
- Collaborate with engineering, product, and cloud teams to deliver end-to-end solutions
- Collaborate with cross-functional teams to deliver solutions
- Continuously improve and optimize AI systems
- Stay up to date with the latest advancements in AI/ML and recommend improvements
Requirements
- Strong experience in Python development
- Have experience with Large Language Models (LLMs): experience integrating with LLM endpoint
- Experience with Azure Cloud services is preferred (not mandatory)
- Experience with ML frameworks (e.g., TensorFlow, PyTorch…)
- Knowledge of MLOps practices
- Have experience working in production environments, including CI/CD and deployment practices
- Experience building scalable AI systems in cloud environments is a plus
- Strong problem-solving skills and ability to work independently
- Good communication and collaboration skills
- Fluent English communication, both verbal and written.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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