codeMantra
https://codemantra.com/About
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Jobs at codeMantra
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Greetings from codemantra!!!!
Must have worked minimum 2 Years in a publishing or IT company serving international clients for various output with Accessible feature
Technical Practice Knowledge - Accessibility principles in PDF, PPT, Word and Excel
Should have worked as PDF/MSOffice workflow as Production processor for minimum 1 year
Strong Remediation Knowledge in Adobe Acrobat and MS office products
Capable of Analyze, creating workflow documents, and Requirement gathering for New customer inputs
Should have worked in PDF remediation with PAC, ACE, WCAG compliance
Should have strong knowledge on tools and techniques of PDF application
Should have an eye on detail content, layout and color
Should have Strong English communication knowledge
Capable of training new resources both Inhouse and Vendors
Regards
Ranjith
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Greetings from Codemantra!
We are hiring Associate product manager with 2 to 6 years of experience & below skill sets.
* Create and manage product strategies, roadmaps, project plans and product specifications.
* Collaborate with marketing and engineering on product development during the discovery
phase to assess value, usability and feasibility of product features.
"Own" the product's user experience and feature set and act as the product evangelist to build
awareness within the organization.
* Performing A/B tests and working with UX and Visual Design teams in developing and
optimising the desktop & website user experience.
*Identifying opportunities for revenue growth, with marketing and business teams to understand
requirement of new products/features/services from the users.
*Build product prototypes and mock-ups -Prioritize and create detailed product specifications to
be used in written specifications, business rules, flows and use cases, as well as user-
experience (UE) generated deliverables such as prototypes, wireframes and design and copy
documents.
*Experience designing and building great user experiences on both the web and mobile devices.
* At least 2 years experience as a program or product manager successfully in multiple products.
* Strong understanding of all aspects of the product development lifecycle, including product
strategy development, requirements definition, UE design, engineering, QA and launch.
* Passion for great user experience and design.
* Experience with SaaS product design and delivery is preferred.
* Strong communication skills.
* Being a team player.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
Data Science
R Programming
PythonML ARCHITECT
Job Overview
We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Creating automated anomaly detection systems and constant tracking of its performance
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Secure and manage when needed GPU cluster resources for events
- Write comprehensive internal feedback reports and find opportunities for improvements
- Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.
Skills and Qualifications
- Strong Hands-on experience in Python Programming
- Working experience with Computer Vision models - Object Detection Model, Image Classification
- Good experience in feature extraction, feature selection techniques and transfer learning
- Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
- Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
- Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
- Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
- Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
- Exposure to OpenCV Familiarity with GPUs + CUDA
- Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
- We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
- Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
- At least 1 year experience in light and medium level copy editing for STM, humanities and social sciences books
- Good command of English language
- Passion for copy editing
- Proficient in Microsoft Word
- Good analytical skills
- Ability to work productively in a team
Required Candidate profile
looking for level 1 copy editors with proof reading skills.The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data ScienceMachine Learning (ML)
Deep LearningGREETINGS FROM CODEMANTRA !!!
EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!
Skills and Qualifications
*Strong Hands-on experience in Python Programming
*** Working experience with Computer Vision models - Object Detection Model, Image Classification
* Good experience in feature extraction, feature selection techniques and transfer learning
* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.
* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.
* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model
Regards
Ranjith PR
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