AI/ML Engineer

June 25

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Teambooster AI

Freeing up time for interviewers. Giving more applicants a shot up to bat.

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Description

• AI Model Development: Design, implement, and optimize machine learning and deep learning models to power AI agents. • Algorithm Research: Stay up-to-date with the latest advancements in AI and contribute to the development of innovative algorithms. • Integration: Work closely with software engineers to integrate AI models into enterprise applications and systems. • Data Management: Collaborate with data engineers to collect, preprocess, and analyze large datasets. • Prompt Engineering: Develop and refine prompts for GPT models to ensure accurate and contextually appropriate responses from AI agents. • RAG Implementations: Implement Retrieval-Augmented Generation (RAG) techniques to enhance the performance of AI models. • Report Generation: Develop AI-driven solutions for automated report generation to provide valuable insights to clients. • Testing and Validation: Develop rigorous testing protocols to ensure the accuracy, reliability, and scalability of AI agents. • Collaboration: Collaborate with product managers, UX/UI designers, and other stakeholders to ensure AI solutions meet client requirements and deliver exceptional user experiences. • Documentation: Maintain comprehensive documentation of AI models, algorithms, and processes.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. • Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).

Benefits

• 30 days of Paid leave in a year • Annual bonuses • Full-time remote or work from home • Day shift, Pacific Standard Time (Los Angeles, United States) • Accelerate Career growth

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