AI ML Computer Vision Lead
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Job Description
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.
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:
- Deliver robust welltested and fully documented modules to serve the use cases
- Implement stateoftheart deep learning algorithms to support people and product association
- Collaborate with system architects designers and engineers to support the development of robust machinelearning systems
- Continuously improve the efficiency and robustness of existing modules
- Prioritize feature development with Product Management
- Implement the entire application modules as discoverable microservices and experience hosting and deploying ML solutions
- Perform code reviews and ensure proper design and delivery
- Promote best practices establish team processes and identify infrastructure and architectural investment needs
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
- Computer Vision
- Machine Learning
- Deep Learning
- Data Pipeline Management
- Team Leadership
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
Employment Type
Full Time
