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
Job tags
Salary