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Job Description
Responsibilities
Define and drive projects in AI and Machine Learning. Identifies opportunities to leverage AI capabilities for efficiencies and cost reductions.Take end-to-end responsibility for model development, including data exploration, training data, feature extraction and model development, validation and scoring.Should have experience in Machine Learning, Artificial Intelligence, Deep Learning, Reinforcement Learning, statistical techniques to create scalable solutions for business problem.
Additional Responsibilities:
Exposure to
1. Frameworks like Keras, TensorFlow, or Theano and sequence modeling.
2. Bot frame works across multiple vendors
3. Natural Language Processing, Computer Vision, Neural Networks, or related fields and a strong interest and desire to pursue them.Must have good communication skills with passion for automation and should be able to keep up with the innovations happening in AI, Machine Learning, Deep Learning, script based and Workflow automation.
Preferred Skills:
Artificial Intelligence->IBM Watson
Technology->Machine Learning->Azure ML
Artificial Intelligence->Machine Learning
Artificial Intelligence->Python ML
Educational Requirements
Bachelor of Engineering
Service Line
Global Delivery
* Location of posting is subject to business requirements
Key Skills
Machine Learning; Azure ML; Natural Language Processing; Python ML; Keras; Computer Vision; IBM Watson; TensorFlow
About Company
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 45 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
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June 7, 2022