Data Scientist

1 week ago


Bengaluru, India LTIMindtree Full time

IOT data Eng Role - AI Data Scientist Responsibilities 1. Study and transform data science prototypes and design enterprise grade, production ready machine learning systems 2. Work closely with senior management in project proposal, management, staffing etc. 3. Ability to lead a team in terms of task allocation, exploration, project delivery etc. 4. Define architecture for AI solution at scale as per client requirement following best practices. 5. Scope out the solution in terms of time, effort, team skills needed Have basic idea of resource loading, estimations. Act as an SME for a project, RFP, RFI 6. Wok on multiple project proposals and involve in clientmeetings and drive conversations, participate in working groups in addressing specific challenges ad-hoc projects. 7. Identify emerging technologies and latest trends deemed relevant to AI domain. Requirements 1. At least 10 15 years practical hands-on experience in managing and delivering AI ML Analytics. Hands-on experience in Python or R, SQL and or NoSQL databases familiarity with Scala, Java or C is an asset. 2. Expertise in ML and DL algorithms especially Computer Vision algorithms like CNN s, GNN s etc. 3. Operational experience with machine learning frameworks like Keras Tensorflow PyTorch PyChamp Kite and libraries like scikit-learn 4. Superior verbal and written communication and presentation skills, right attitude, ability to convey rigorous mathematical concepts and considerations to non-experts. 5. Hands on experience with cloud deployment in AWS GCP Azure At least 1 is must 6. Problem-solving aptitude and interest to learn new concepts, tools, and technology, outstanding analytical and problem-solving aptitude 7. BSc MSc BTech MCA - in Computer Science, Mathematics, Statistics, Economic or similar. PhD in computers, mathematics, statistics, economics or any science discipline with industry experience will be preferred. Papers articles white papers published in journals will be preferred



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