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| Job Location | Chennai |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Job Synopsis:Position: Machine Learning EngineerLocation: ChennaiExperience Required: 3 to 6 yearsApply HereSkillsets:Our team is seeking experienced engineers who can help us design and build both infrastructure and algorithms in the areas of machine learning, and computer vision.Responsibilities:Drive the end- to- end problem solving for a people tracking ML product. Design novel and breakthrough ML technology to fully solve ambiguous problems for real- world environment. Work with data acquisition, ML infrastructure and data serving team to propose solutions for new problems and design system in a way that can be successfully deployed at customer premises. Fast iteration on experiment which can develop state- of- the- art deep neural net models, while also aiming to build a common multi- modal neural net that can tackle a broad spectrum of similar problems. Understand the limitations of ML applications performance on embedded platforms. Work closely with development and QA teams in transitioning prototypes to commercial products.Minimum Qualifications:B.E/ M.E/ PhD in Computer Science, or equivalent field.3- 6 years core experience in ML research & infrastructure.Must have skills:Computer Vision - Experience with object detection, tracking, classification, recognition (Face, Iris, Finger, Gesture, ), scene understanding, facial expression analysis.Delivered at- least two products in the customer environment.Thorough understanding of full ML pipeline, starting from data collection to model building to experimental framework to data analytics.Deep understanding of at- least two popular frameworks (Tensorflow, Keras, MxNet, Caffe. CNTK, Theano / Pytorch), their strength and applicable AI use- cases.Experience implementing ML algorithms - Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Boosting, K- Means, Ensembler Classifiers, Random Forest, convex optimization, transfer learning.Experience in frameworks such as Spark, Lucene to implement real- time ML systemsStrong mathematical understanding.Should have deep expertise in Computer Vision at at- least one vision framework such as OpenCV.Image Processing - hands- on expertiseProgramming in C / C++ Usage of Mat lab, Open CV tool kits.Experience on embedded/ mobile platforms and real- time implementation of complex algorithms.Able to execute quickly with ever- changing problem set and environment.Ability to work in small team / rapid prototyping environment.Good to Have:Knowledge and experience in building image/ video data- sets to evaluate the solution.Working with machine learning in embedded applications: model quantisation, fixed point neural networks.Experience with Multi- Threading and C++/ Python/ Java/ Boost/ R/ SQL desirable.Advanced degree in Machine Learning, Computer Vision, Applied Mathematics, and Statistics or related fields.,
Keyskills :
modelbuilding datacollection problemsolving computervision computerscience machinelearning imageprocessing objectdetection dataacquisition convexoptimization appliedmathematics obileplatf ms position