Wordpress Developer

1. Good understanding of AJAX and JavaScript
2. Experience with RESTful services
3. Experience in building user interfaces with JavaScript frameworks like Angular
4. Skilled with common front-end technologies such as HTML, CSS, JS
5. Strong understanding of JavaScript concepts like Promises and asynchronous programming
6. Ability to decompose a problem into clear software and UX design actions.
7. Understands how to optimize the delivery of code and assets (e.g., images, fonts) to a browser or device (e.g., lazy loading assets, using CDNs, caching, compression, etc.)
8. Experience in working with jasmine, karma, and Angular TestBed
9. Experience in working in agile environments
10. Able to maintain versioning for the source code using Git

We are looking for a PHP Developer responsible for managing back-end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities

• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions

Skills And Qualifications

• Strong knowledge of PHP web frameworks such as Codeigniter
• Basic understanding of front-end technologies, such as JavaScript, JQuery, HTML, and CSS
• Familiarity with MySQL databases and their declarative query languages
• Understanding of MVC design patterns
• Knowledge of object oriented PHP programming
• Strong knowledge of the common PHP or web server exploits and their solutions
• Understanding fundamental design principles behind a scalable application
• Good problem-solving skills.
• Good team player that is enthusiastic about delivering results

Education Should be ME/MCS/MCA/BE

• Manage different versions of complicate code and distribute them to different teams in the organization utilizing TFS.
• Develop an ASP.Net application to input and manage a production schedule, production statistical analysis and trend reporting.
• Create routines for importing data utilizing XML, CSV and comma delimitate files.
• Filter and cleanse OLTP data with complex store procedures and SSIS packages in the staging area.
• Develop a dimensional database and OLAP cube using SSAS for analysis, maintenance and good customer service.
• Involve in development and implementation of SSIS, SSRS and SSAS application solutions for various business units across the organization.
• Extract the data from XML and load it to dimensional model.
• Maintain SQL scripts, indexes, complex queries for data analysis and extraction.
• Create advanced reports like dashboard and scoreboard using SharePoint and power pivot for better presentation of data.
• Create cubes in SSAS reports which require complex calculations such as calculation of the premium for a particular policy.
• Create SharePoint sub sites, lists, libraries, folders and apply site permissions according to the given requirement.
• Work with business analysts, subject matter experts, and other team members to determine data extraction and transformation requirements.
• Develop T-SQL functions and store procedures to support complex business requirements.
• Create and configure an OLTP replication database for disaster recovery purpose.
• Designed/Implemented/Maintain OLAP servers and processes to replicate production data to the server.

• Ability to complete all phases of software development life cycle including analysis, design, functionality, testing and support 
• Ability to develop large scale web/database applications 
• Ability to work on multiple projects with multiple deadlines 
• Ability to communicate clearly with business users and project manager 
• Ability to innovate and provide functional applications with intuitive interfaces 
• Proven experience with Microsoft .NET technologies including, .Net Core, ASP.NET, ADO.NET 
• Strong in Jquery/javascrpit/CSS/Bootstrap
• Familiarity with architecture styles/APIs (REST, RPC)
• Knowledge of Design/architectural patterns (e.g. MVC)
• Understanding of Agile methodologies
• Excellent troubleshooting and communication skills
• Excellent documentation skills for Technical Documentation.

Responsibilities

• Strong knowledge of MERN stack (MongoDB, Express JS, React JS, Node JS, HTML5, CSS3, jQuery, Bootstrap, SASS)
• Develop user interfaces for modern rich internet applications with the latest front-end technologies
• Developing features to enhance the user experience.
• Should have excellent in-depth knowledge on Nodejs and MongoDB
• Hands-on experience working with Object-Oriented JavaScript (OOJS), JavaScript libraries and their practical uses in building complex interactive experiences
• Building reusable code for future use
• Writing tested code and its documention

• 1+ years of experience in front end development and backend development is must
• Thorough knowledge of HTML5, CSS3 (LESS/SASS),React, Nodejs and Mongodb
• Solid understanding of JavaScript and the ability to pick up any framework quickly
• Strong Experience in back-end frameworks used to develop dynamic web pages (REST, GraphQL, WebSocket/socket.io)
• Expertise in developing and testing across multiple browsers, platforms, DOM implementations, etc.
• Strong experience in React, React Hooks, Redux, Thunk | Saga, ES6, Typescript, ESLint, Nodejs, GraphQL, Redis, AWS, Git, Github, Docker

Bonus but not mandatory

• UI/UX designs
• AWS
• Git
• CI/CD

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics