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AI ML Computer Vision Lead


YO HR Consultancy


Location

Chennai | India


Job description

Company Overview:
YO HR CONSULTANCY is a leading HR consultancy firm operating in the cuttingedge AI and ML domain. With a focus on utilizing the latest technologies and innovations we strive to provide topnotch talent solutions to our clients in the None industry.

Role and Responsibilities:
As an AI/ ML Computer Vision Lead you will be responsible for leading the AI team and designing scalable solutions using AI tools. Your role will involve turning business requirements into analytical questions conducting research testing and developing machine learning algorithms and predictive models. You will be instrumental in solutioning the Data Pipeline Management (DPM) for respective UseCases testing tuning integrating packaging and monitoring solutions throughout the ML Cycle. Additionally you will guide AI/ML Engineers monitor model decay and data drift and track daily progress to identify and mitigate risks.

Responsibilities:

Candidate Qualifications:
MS / PhD in engineering or quantitative discipline (e.g. Statistics Mathematics Computer Science etc.)
10 years of industry work experience in computer vision object detection pattern recognition artificial intelligence automation and/or vision processing
5 years of relevant experience as a CV Engineer Data Scientist Machine Learning Engineer or related role

Required Skills:

ms/phd in engineering or quantitative discipline,classification,java,model development,statistical concepts,mlops,code management,entity extraction,mlops tools,microservices,nodejs,algorithms,cloud platforms,ensemble approaches,ml concepts,statistical modeling,docker,operating systems,ocr,pytorch,fastapi,object detection,keras,automation,eda,sql,opencv,javascript,team management,cuda,hypothesis testing,computer vision,databases,nlp,text detection,onnx,standalone systems,artificial intelligence,model compression,machine learning systems,opengl,unsupervised learning,regression,distributed training,evaluation techniques,deep learning,opencl,technical communication,machine learning,mlops deployment,flask,data pipeline management,ensemble learning,model optimization,unsupervised approaches,vision processing,generative ai,pickle,saas,pmml,kubernetes,python,code deployment,pattern recognition,tensorflow,nlp techniques


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