.. preparation for internal and external audits as needed. • Research and Analysis: Conduct research on financial trends, taxation changes, and best practices, providing valuable insights to the finance team. ➢ Requirements: • Currently pursuing or recently completed a Bachelor's or Master's degree .. read more
Job Responsibilities Build a diverse cross-functional team to identify and prioritize key areas of the business across ML, AI, NLP and other cognitive solutions that will drive significant business benefit Lead AI R&D initiatives to include prototypes and minimum viable products Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. Build reusable and scalable solutions for use across the customer base Create AI white papers and enable strategic partnerships with industry leaders Align, mentor, and manage, team(s) around strategic initiatives Prototype and demonstrate AI related products and solutions for customers Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems) Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans Identify new business opportunities and prioritize pursuits for AI Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals Build a great work environment that attracts and retains elite talent Work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the right outcomes Qualification Bachelor’s degree (in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling) or equivalent required. MBA and/or advanced technical degree preferred 6+ years of Experience majorly in AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus Understanding of the technologies like: Python, Django, Flask, HTML5, CSS3, Bootstrap, Javascript, Backbone.js, Angular.js, Node.js, JQuery, RDBMS: Prior experience in Google Cloud SQL, Graph/NoSQL, Bigtable, MySQL, MSSQL, Google Cloud Platform - Google App Engine, GKE, Anthos Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks Ability to interact, converse and ideate with CTOs, CEOs, VPs and IT Directors Prior experience leading a technical team. You are experienced at running a team of high performing individuals, and understand how to get the most out of smart, motivated people Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus Excellent communication skills to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in diverse teams Be a Searce Cloud evangelist. Educate customers of all sizes on the value proposition of various services and benefits offered by Searce and partner OEMs. Author or otherwise contribute to Searce’s customer-facing publications such as whitepapers, blogs, and proof of concepts