Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Data Science
Good to have skills : NA
Minimum 10+ year(s) of experience is required
Educational Qualification : std Accenture requirements

Project Role : Data Designer Project Role Description : Utilizes data science methodology to inform the design research process. Employs statistical and quantitative data analysis to enhance solution development. Must have Skills : Data Science, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements : Key Responsibilities : A:Having broad technology background, with focus on developing software applications in Python for production ready applications B:Writing container-based code and testing code, debugging programs and integrating applications with third-party web services, deployment Work with cross functional team to scale the architecture supporting C:AI models Support data needs for model training/ensemble the models Architecture, security reviews, NFRs Experience in Agile, DevOps, driving best practices Technical Experience : A: Using APIs in python Flask, Falcon or Django, Kafka ML and python libraries as scikit-learn, numpy and pandas B:Machine learning, Deep learning, Image Processing Familiarity with Apache SOLR, MongoDB C:Familiarity with Celery, Rabbit MQ for background task queues Data pre-processing techniques GIT, Docker, Jenkins, Swagger, Cloud AWS/Azure Professional Attributes : Good Communication skills, Good in Analytics and collaboration Educational Qualification: std Accenture requirements Additional Info :

std Accenture requirements

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