Project Manager

Demonstrated Skills: 

• Average ability on calling, spoken and written English with moderate medical billing knowledge. 

• Should be able to work independently with minimal supervision, on moderate and complex tasks with guidance from supervisors 

• Should be a team player and collaborate in solving the issues and problems. 

Roles & Responsibilities: 

• Ability to talk to insurance companies & check online for outstanding payments and document the conversation/ findings on patient account and assigned WP as per the standardization protocol with required accuracy. 

• Willingness to work in the night shift 

• Meet Compliance requirements like HIPPA etc. 

• Meet QMS and ISMS requirements 

• Meet productivity and quality standards 

• Should have good typing speed of 25 wpm 

• Should ensure 100% attendance. 

Roles and Responsibilities 

1) Understand client requirements and functionalities. 

2) Write well-designed, testable, efficient code. 

3) Responsible for solving complex technical issues. 

4) Ensure quality projects are delivered within defined timelines. 

5) Active involvement in client communication to understand functional requirements. 

6) Maintain high standards of quality for code, documentation and other deliverables.

At least 3 years' experience as a Node.js developer.

Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

Mandatory experience in MongoDB and MySql.

Knowledge of front-end technologies such as HTML5 and CSS3.

Superb interpersonal, communication, and collaboration skills.

Exceptional analytical and problem-solving aptitude.

1) Ruby on Rails:

Experience Required: 2.5 -5 years

Max. Budget: 18 LPA

Job Description-

• Designing and developing new web applications.
• Maintaining and troubleshooting existing web applications.
• Writing and maintaining reliable Ruby code.
• Integrating data storage solutions.
• Creating back-end components.
• Identifying and fixing bottlenecks and bugs.
• Integrating user-facing elements designed by the front-end team.
• Connecting applications with additional web servers.
• Maintaining APIs.
• Good Communication skills

Preferred work from the office but can provide remote work as well.

Note: Please avoid NCR and south Indian candidates.

About the Company
Based in California’s Silicon Valley, WebShar is focused on enabling innovative teams to bring their ideas to life. WebShar provides software development consulting services to innovative companies around the world. Through years of cutting edge technical expertise, the WebShar team utilizes their extensive knowledge of modern software development methodologies to help companies create innovative software solutions.

About the Job Role

 Primary  

• Java, J2EE, Spring MVC
• Hibernate or other ORM
• Web technology and security, REST framework
• Any one UI technology and ready to learn a new one.
• Database knowledge (MySQL, Oracle, Postgres)
• Unit testing frameworks
• Version Control (Eg., Git)

Good To Have  

• Microservices architecture implementation using docker and kubernetes
• Web technologies like HTML, CSS and Javascript
• Python, Shell Scripting

• Identify and analyze user requirements
• Prioritize, assign and execute tasks throughout the software development life cycle
• Document development phases
• Design database architecture
• Develop Java EE applications
• Write well-designed, efficient code
• Review, test and debug team members’ code
• Schedule product releases with internal teams
• Ensure our applications are secure and up-to-date
• Stay up-to-date on emerging technologies

• 6 to 8 years of work experience as a Senior Java Developer or similar role
• Experience designing, building and testing Java EE applications
• In-depth knowledge of popular Java frameworks like Spring MVC
• Experience with Object-Oriented Design (OOD)
• Good delegation and time management skills
• Problem-solving abilities
• BSc in Computer Science, Engineering or relevant field

GREETINGS 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