Job Description:

Lead Data Scientist/SME

Job Location:  Bangalore

Job Description

DXC Data & AI Team is looking for a Data Enthusiast with expertise and interest in AI / ML implementation, Gen AI Initiatives having experience in diverse areas like NLP, LLMs, ML Algorithms. As part of Data & AI Team, you will have an opportunity to work with a team of talented data scientists and solve some of the real-world AI/ML Use cases. You will be working at a fast-paced environment to build rapid prototypes using state-of-the-art machine learning and NLP techniques and eventually productionize/operationalize them.

Job Responsibilities

•            10+ Years in Overall Experience in Data & AI Subject Areas. Participate in conceptualizing, designing and developing AI/ML , Gen AI solutions for Clients

•            Develop solutions around diverse challenges with some of them being Text Analytics, Prediction / Classification, Clustering, Recommender Systems, etc

•            Operationalize built prototypes in cloud platforms like Azure, AWS & GCP

•            Explore Emerging Technological Trends and Create PoV & build solutions.

•            Hands-on Experience in Python , Spark, Scala , Java

•            Hands-on Experience in leveraging Open Source Libraries like Scikit-learn, SparkNLP, Spacy, etc for implementing diverse solutions

•            Experience in Implementing ML Ops Framework for Scalability and Operationalization of ML Solutions for Client

•            Experience in implementing ML Solutions is one or more Cloud Platform like Azure, AWS, Databricks

•            Experience in communicating complex algorithms and findings in an easily comprehensible way to clients

•            Has aptitude to do Story Telling diverse set of Audience in multi Industry environment

•            Technical Knowhow & Experience of Data Ingestion, Data Integration, Visualization Activities to handle End-to-End Data & AI engagements.

•            Domain Knowledge in one or more Industry Verticals like BFSI, Manufacturing, Retail, Transportation, etc.

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