Position Type: In-office (Okhla)
Experience Required: 1-5 years in Content Writing
Please do not apply for this position if you face grammar issues in your writing.
YMGrad is a fast-paced, study-abroad consulting firm. The post is for the position of a content writer. We are looking for people with experience in working with students on their journey to study abroad in countries like the USA, Canada, Germany, and more.
You will often find yourself shortlisting universities for students, guiding them on how to improve your profile, and learning more every day along the way.
Training is available for candidates who need it. However, we will still need people without grammar issues in their writing.
Responsibilities
- Create new content to assist students in their applications
- Work closely with students on the consulting team
- Optimize content for blogs using SEO best practices
Job Types: Full-time, Permanent, Fresher
Benefits:
- Flexible schedule
- Leave encashment
- Paid sick time
- Paid time off
Schedule:
- Day shift
Supplemental Pay:
- Yearly bonus
Experience:
- Content writing: 1 year (Required)
Language:
- English (Required)
Work Location: In person
Shubham Vishwakarma
Full Stack Developer - Averlon
About YMGrad
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Good coding/problem solving skills and interest in learning new things will be the key. Time /Training will be provided to learn new technologies/tools.
2 or more years of experience in building web/mobile applications using the following languages
● HTML/CSS3, Complex Responsive Design Layouts, StyleX
● Typescript / JavaScript
● React / Vue / Angular
● Cordova / Ionic - Capacitor
● React ARIA, Antd
● eCharts, D3
● Axios / API integration
● Animations with Framer
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● Writing good quality code with component framework using latest standards
● Themeable react components with different variations of the component
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● Work with other developers to ensure that the product is functional and visually appealing.
● Ensure that the website is optimized for various devices.
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Git|
o Expertise in Software configuration management (SCM) using multi-site Rational ClearCase, ClearQuest ,Git, Gerrit, JIRA and CVS |
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o Experience of working with continuous integration frameworks (like Hudson, Jenkins) and debugging |
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o Expertise in build and release process and automation, build infrastructure setup |
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o Build environment and build scripts (cmake / make, GNU Make) in-depth expertise and knowledge |
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o Expertise and in-depth knowledge in scripting (Shell / Perl) is a must |
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o Experience of working in UNIX-like environments (Linux/Solaris) and usage of operating system tools |
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NodeJS (Node.js)HTML/CSSROLES AND RESPONSIBILITIES
- Proven working experience in backend app development and experience with Node JS.
- Build advanced ecommerce backend applications for the multiple client platforms (both React and Android).
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CANDIDATES MUST HAVE
- Node JS.
- Data Structures and Algorithm
- HTML5 and CSS3
- Graph QL and Apollo Server
- MongoDB, Elastic Search, DynamoDB, Redis
- AWS Services like EC2, Lambda, Kinesis, Redshift, S3
REQUIREMENTS
- Bachelor's degree in computer science, information science, or similar.
- Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
- Knowledge of front-end technologies such as HTML5 and CSS3.
- Superb interpersonal, communication, and collaboration skills.
- Exceptional analytical and problem-solving aptitude.
- Great organisational and time management skills.
- Availability to resolve urgent web application issues outside of business hours
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Additionally, good candidates should have:
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Ability to understand and apply 2D and 3D mathematical concepts (linear algebra, matrix
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Proficiency in Object Oriented Programming and coding best practices, especially in C# and/or
C++
Knowledge of game engine concepts such as lighting, shaders, materials, meshes, scripting, etc.
History of working collaboratively on multi-person teams with source control and (ideally) issue
tracking
Creativity in finding solutions to abstract design problems, particularly with respect to translating real-world concepts and interactions into VR
Capacity to prioritize tasks through self-directed time management and organization
UI/UX ability and experience a plus
Nice to have: general familiarity with industry-standard 3D graphics software such as 3DS Max,
Maya, Substance, etc.
Working in a small project-oriented development team to create custom AR and VR experiences
for enterprise use cases (engineering, biomedical, marketing, training, etc.) in Unity and/or Unreal
Engine
Collaborating with other developers and clients to evaluate project needs and come up with clever
solutions
Setting up virtual environments for a wide range of AR or VR scenarios, depending on the project
type
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Writing well-documented, reusable code in C++, C#, or other languages as necessary
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Keeping up with the latest trends and advancements in augmented and virtual reality
NodeJS (Node.js)
MongoDB
Express● A Bachelor's degree in Computer Science or related field(or combined with related experience)
● Strong Expertise in Node.js/Javascript
● Hands-on experience in writing Node.js applications
● Deep knowledge of Restful APIs, Web Services, command-line programs and solid design principles.
● Knowledge of Node.js and frameworks like Express.js,Sails.js,StrongLoop, Meteor,Loopback.js, etc
● Knowledge of SQL and NoSQL database(MongoDB)
● Knowledge of tools like Docker, Git, Postman, JSdocs, etc.
● Well versed with front-end technologies - HTML5, and CSS3, AWS, GCP, Azure, Good hold on CLI
command, OS
● Proficiency in multiple programming languages, both dynamic(Javascript, Python, Ruby, etc.) and
strongly typed object-oriented language.
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● Must be a proven performer and team player that enjoys challenging assignments in a high energy,
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● Good communication and interpersonal skills
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- Develop well-designed, performant and scalable microservices
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- Integrate data storage solutions including databases, key-value stores, blob stores, etc.
- Expose business functionality to frontend/mobile applications and partner systems through secure and scalable APIs.
- Build integrations with 3rd party applications through apis’ to ingest and process data
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- Contribute to devops by building CD/CI pipelines to automate releases
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- Thorough understanding of multithreading concepts and async execution using Actor model.
- Thorough understanding of Play framework, GraphQL and GRPC technologies.
- Experience in using DAL and ORM (Object Relational Mapper) libraries for data access.
- Experiencing in developing and hosting APIs and integration with external applications.
- Experience in building data models and repositories using relational and NoSql databases.
- Knowledge of JIRA, Bitbucket and agile methodologies.
- Good to have knowledge of AWS services like Lambda, dynamodb, kinesis and others.
- Understanding of fundamental design principles behind a scalable application.
- Familiarity with event-driven programming and distributed architectures.
- Strong unit test and debugging skills
- Affinity for learning and applying new technologies and solving new problems
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- Experience in working with docker is a plus
- Comfortable in working with Unix/Linux environment
- Strong communication skills — both written and verbal
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- Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
- The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
- Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).
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Candidates must meet ALL of the following qualifications:
- Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
- Three years of industry work experience, developing data mining models which were deployed and used.
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- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
- Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
- 2019 Edge Computing Company of the Year – Compass Intelligence
- 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
- 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
- 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
- 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
- 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
- 2018 The 10 Most Innovative AI Solution Providers – Insights Success
- 2018 The AI 100 – CB Insights
- 2017 Cool Vendor in IoT Edge Computing – Gartner
- 2017 20 Most Promising AI Service Providers – CIO Review
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
- We care about “best practices”
- Have a direct impact on the company’s revenue
- Give or receive mentoring as part of the collaborative process
- Questions and challenging the status quo with data is safe
- Intellectual curiosity balanced with humility
- Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning
Java
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Full Stack Developer - Averlon