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Manager of Artificial Intelligence

5 - 8 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

We are on the hunt for a Lead Artificial Intelligence (AI) passionate about architecting, developing, and supporting advanced AI computing resources and AI-enabled services. The ideal candidate will lead the charge in implementing scalable, high-performance computing infrastructures for AI/ML, collaborating with cross-functional teams to bring innovative AI solutions from conception to deployment. Roles & ResponsibilitiesArchitect, design, and implement scalable AI/ML computing infrastructures and application stacks.Collaborate with project managers, analyst & business stakeholders to design and deploy AI solutions.Develop and demonstrate AI use-cases, conducting training sessions to foster AI adoption.Evaluate and implement best practices in AI/ML and analytics.Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.Provide expert consultation on AI-related standards, best practices, and governance frameworks.Lead disaster recovery and business continuity planning for AI computing infrastructure.Stay updated with emerging technologies in AI and ML to enhance institutional capabilities. Eligibility CriteriaMaster’s degree in Computer Science or Data Science or Information Technology,6+ years in high-level architecture design and solution development for large-scale AI/ML systems.Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modelling, and NLP. Preferred SkillsetsExpertise in predictive analytics, machine learning, deep learning architectures, and text analytics with NLP.Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps.Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments.Exceptional communication skills to articulate technical solutions to both technical and non-technical audiences.Strategic thinking in systems capacity planning, hardware and software updates, and migration.

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