Artificial Intelligence Specialist

The Judge Group; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

The Judge Group is seeking an AI software engineer to design intelligent programs, cognitive applications and AI-driven data analysis solutions.

You will work with deep learning, NLP, image processing and cognitive automation to solve complex problems and enable self-service automation in business processes. Collaborate with cross-functional teams to translate business requirements into scalable AI models and robust automation capabilities.

Responsibilities

• Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
• Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
• Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
• Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Job description

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming

Key Responsibilities:

• 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
• 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
• 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
• 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation