TL;DR
Applied Scientist (AI Engineering): Designing and deploying scalable GenAI, NLP, and Computer Vision solutions to improve customer experience and automate hirify.global Stores Operations with an accent on multi-modal understanding and task automation. Focus on developing novel LLM, deep learning, and statistical techniques to solve complex problems related to text and image processing.
Location: Remote
Company
hirify.global AI enhances customer experience by providing technologies to find and fix hirify.global CX defects at scale.
What you will do
- Design and deploy scalable GenAI, NLP, and Computer Vision solutions impacting millions of customers.
- Develop novel LLM, deep learning, and statistical techniques for task automation, text processing, and anomaly detection.
- Define research and experiment strategies to iteratively improve AI/ML models.
- Partner with business and engineering teams to solve complex problems requiring scientific innovation.
- Independently file for patents and/or publish research work.
Requirements
- Master's degree.
- 2+ years of relevant applied science research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields.
- Excellent communication skills.
Nice to have
- Publications at top-tier peer-reviewed conferences or journals.
- Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Solid understanding of machine learning, deep learning algorithms and computational complexity.
- Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.
Culture & Benefits
- Inclusive culture empowering hirify.globalians to deliver the best results for customers.
- Workplace accommodation or adjustment during the application and hiring process for individuals with disabilities.
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