AI ML - Computer Vision -Lead

Location

Bangalore | India

Job description

Company Overview
YO HR CONSULTANCY is a leading HR consultancy operating in the None industry. We specialize in providing recruitment and staffing solutions for various companies across different sectors.

Role and Responsibilities
The Lead AI/ML Computer Vision role at YO HR CONSULTANCY involves the following key responsibilities:

• Designing and developing scalable AI solutions and turning business requirements into effective analytical questions
• Conducting research and testing to develop machine learning algorithms and predictive models
• Solutioning Data Pipeline Management for respective UseCases
• Testing tuning integrating packaging and monitoring solutions throughout the ML Cycle
• Guiding the AI/ML Engineers on their daily tasks and technical challenges
• Implementing postproduction activities to monitor model decay data drift and apply retraining approaches
• Tracking daily progress from a solution standpoint and identifying and mitigating risks
• Delivering welltested and fully documented modules to serve the use cases
• Implementing stateoftheart deep learning algorithms and collaborating with system architects designers and engineers
• Improving the efficiency and robustness of existing modules and prioritizing feature development with Product Management
• Implementing application modules as discoverable microservices hosting and deploying ML solutions and performing code reviews
• Promoting best practices establishing team processes and identifying infrastructure and architectural investment needs

Candidate Qualifications
The ideal candidate for this role should possess:

• 10 years of industry work experience in computer vision object detection pattern recognition AI automation or vision processing
• 5 years of relevant experience as a CV Engineer Data Scientist Machine Learning Engineer or related role
• Proficiency in Python and knowledge of TensorFlow PyTorch and distributed training/inference with Spark
• Experience with CUDA OpenCL OpenGL OpenCV and at least one of PyTorch TensorFlow or Keras
• Proficiency in Python Nodejs Javascript or Java and experience in designing and developing highly scalable distributed ML models and opensource projects
• Knowledge of text detection & OCR human/face detection generative models video analytics and NLP techniques
• Good understanding of Statistical and ML Concepts various operating systems and databases and experience with MLOps Tools and deploying code on Cloud Platforms or Standalone Systems
• Team player with excellent written and verbal technical communication skills and an MS/PhD in engineering or quantitative discipline

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

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