Find Job
Hire Talent
Events
Blogs

Machine Learning Engineer

Location

Chennai

HeadQuarters

Redwood, California

Company Size

200

Established in

2016
Skillsets
Machine Learning
  • You must have:You will have practical knowledge of image processing techniques, machine learning for computer vision, especially deep learning approaches for classification, object detection, segmentation, and generative models5-6 years of work experience in computer vision-driven projects; candidates with experience in leading teams in these projects will be preferred.Deep understanding of ML algorithms, their fundamentals, and mathematical underpinningsStrong algorithmic thinking, creative problem solving and the ability to take ownership and do independent researchStrong communication and interpersonal skills with the ability to collaborate and iterate with feedback from business/tech stakeholdersProven code proficiency in PythonExpertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Chainer, TensorflowKnowledge of micro-service architectures, relational and NoSQL databasesExperience in architecting systems is an added advantageEducational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines)
  • Our suite of products helps retail companies automate and make their process chain intelligent by using Computer Vision, NLP, Machine Learning techniques and Data Science. We are a team of AI/ML engineers from various backgrounds including Computer Science, Mathematics and Neuroscience. We are trying to make sense of diverse streams of unstructured data and engineer intelligent products. We are looking for high-energy generalists for Computer Vision / Machine Learning Engineers with 5-6 years of experience to deliver theoretically elegant, algorithmically and practically efficient, well-engineered solutions to hard problems.
  • Your Requirements:Train ML models and apply computer vision techniques to problems within the organizationProduct Delivery and quick POC turn aroundsAssess the quality and comprehensiveness of datasetsEffectively communicate results/findings through data visualization and reportingContribute to engineering the product for scaleStay updated about emerging new algorithm and academic research papers -communicate/brainstorm to teams, and translate into code as POC’s.Mentor fresh joiners and foster team culture