EMember of Technical Staff - Enterprise AI (Remote)

15 set - Trieste
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Role : EMember of Technical Staff - Enterprise AI (Remote) Location : Remote (Work from Anywhere) We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a Full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.

Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.

- Design and implement machine learning pipelines to support data ingestion, processing, and model training.
- Collaborate with software engineers to integrate AI components into production systems and APIs.
- Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.
- Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures. Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.




- 5+ years of experience in software development with a focus on AI or machine learning applications.
- Proficiency in Python, with experience in frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.
- Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges. This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions. All qualified candidates are welcome regardless of background, experience, or prior employment history.

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