AI Architect
Job details
Required Experience Minimum 12 years of experience in Data & Analytics domain and minimum 3 years as AI Architect Masters or Ph.D. in a discipline such as Computer Science Statistics or Applied Mathematics with an emphasis or thesis work on one or more of the following: deep learning machine learning Generative AI and optimization. Must have experience of articulating and presenting business transformation journey using AI / Gen AI technology to CLevel Executives Proven experience in delivering largescale AI and GenAI transformation programs for multinational organizations Strong understanding of AI and GenAI algorithms and techniques Must have handson experience in opensource software development and cloud native technologies especially on GCP tech stack Proficiency in python and prominent ML packages Proficiency in Neural Networks is desirable though not essential Experience leading and managing teams of Data Scientists Data Engineers and Data Analysts Ability to work independently and as part of a team Additional Skills (Preferred): Experience in the Oil & Gas Energy Manufacturing Retail Healthcare or Fintech sectors Knowledge of cloud platforms (AWS Azure GCP) GCP Professional Cloud Architect and GCP Professional Machine Learning Engineer Certification Experience with AI frameworks and tools (TensorFlow PyTorch Keras) Job Responsibilities Develop and implement AI strategies that align with the business objectives of our customers Lead largescale AI transformation programs from ideation to execution Manage a team of 1520 Data Scientists providing guidance and mentorship Stay up to date on the latest AI trends and technologies and contribute towards the creation of knowledge repository reusable templates reports and dashboards Assign tasks track deliverables and remove impediments to team members Monitor project progress and report to internal/external stakeholders Provide feedback to team members and be a coach and mentor for them Work with other teams and Program Managers in the organization and assist them on estimation of tasks for proposals Participate in organization development activities time to timeInterviews CSR/ Employee engagement activities participation in business events/conferences implementation of new policies systems and procedures as decided by Management team
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