AI Engineer

Join to apply for the AI Engineer role at Expedite Talent Solutions

• Assist in the design and implementation of AI models and systems, contributing fresh ideas and approaches to the team's efforts.
• Translate software requirements into working and maintainable solutions within the existing application frameworks.
• Participate in the full lifecycle of application, including design, coding, testing, implementation, deployment as well as support and maintenance.
• Develop and adhere to best practices for developing applications.
• Ensure optimization across all platforms including mobile-friendly UI/UX.
• Collaborate with other developers to implement AI solutions effectively.
• Effectively analyze a problem/task to give accurate timelines for milestones and full implementation completion.
• Experience in developing frameworks with AI.

• Bachelor's degree in data science, statistics, mathematics, computer science or engineering discipline, or equivalent experience
• 3+ years of work/educational experience leading development of Machine Learning, prompt engineering, data analysis and Artificial Intelligence
• 2+ years of experience with production-grade design, deployment and implementation of AI models and systems, contributing fresh ideas and approaches to the team's efforts.
• Experience with one or more general purpose programming languages including but not limited to:
  Java, C/C++, Python, R or equivalent
• Experience and knowledge in designing, building, and deploying multi layered application Infrastructure involving On-premises & AWS Cloud platform using services Bed Rock LLM models.
• You enjoy working with people and can put yourself in other people's shoes. You're not afraid to ask for help when you need it or help teammates when they need a boost.
• Embraces diverse people, thinking, and styles
• Consistently makes safety and security, of self and others, the priority
• Experience with one or more of the following:
  Natural Language Processing, sentiment analysis, classification, pattern recognition

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Civil Engineering

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