Technical Lead for AI and Machine Learning

Qualifications

• Bachelor's or master's degree in computer science, artificial intelligence, or a related field
• 10+ years of experience in AI, NLP, and OCR development, including hands-on experience with NLP libraries and tools
• Strong understanding of machine learning techniques, NLP algorithms, and Optical Character Recognition (OCR)
• Ability to design and implement scalable, modular AI/ML systems

Responsibilities

• As a Technical Lead for AI and Machine Learning, you will be responsible for designing and implementing AI-based solutions using various frameworks and technologies
• You will lead a team of data scientists and ML engineers, shaping the direction of our product and ensuring exceptional user experiences
• Collaborate with cross-functional teams to drive the organization's AI initiatives
• Develop and implement AI/ML systems, including architecture, infrastructure, and low-code/no-code platforms
• Design and conduct experiments to test the efficacy of different generative models
• Stay updated on the latest research and advancements in the field of generative AI

Full Description

Key Responsibilities:

As a Technical Lead for AI and Machine Learning, you will be responsible for designing and implementing AI-based solutions using various frameworks and technologies. You will lead a team of data scientists and ML engineers, shaping the direction of our product and ensuring exceptional user experiences.

A Day in the Life:

• Collaborate with cross-functional teams to drive the organization's AI initiatives.

• Develop and implement AI/ML systems, including architecture, infrastructure, and low-code/no-code platforms.

• Design and conduct experiments to test the efficacy of different generative models.

• Stay updated on the latest research and advancements in the field of generative AI.

Requirements:

• Bachelor's or master's degree in computer science, artificial intelligence, or a related field.

• 10+ years of experience in AI, NLP, and OCR development, including hands-on experience with NLP libraries and tools.

• Strong understanding of machine learning techniques, NLP algorithms, and Optical Character Recognition (OCR).

• Ability to design and implement scalable, modular AI/ML systems.