Where Innovation Meets The Real World

Job Description –

-IT Experience in Front end and backend application development

-Good experience in developing using various JS frameworks (Nodejs, Angularjs, Reactjs, with HTML5, CSS3, Bootstrap).

-Strong analytical and problem-solving skills with good interpersonal and communication skills.

-Strong proficiency with JavaScript.

-Good working knowledge with database MongoDB & Mysql.

-Angualr JS, Node JS, React JS, Mongo DB, Mysql

-Database Design and query optimization

-Third party API integration (payment gateway, SMS API, Id verification service), Laravel, Code igniter and web service

-Agile Scrum Development

-Knowledge of various AWS Cloud Services etc.

-Experience in Window Azure development which include developing backend for IOT application using Azure IOT Hub, Azure Event Hubs.

-Knowledge on IoT application / Projects.

-Excellent hands-on experience dealing with the onsite – offshore model and client interaction.

-Client engagement to get more business for the organization.

-Well versed with Quality Processes & Procedures. Experience in Planning, Estimation and Project management. Led and managed teams towards successful releases in the past.

-Understanding and implementation of security and data protection.

-Strong understanding of JavaScript, its quirks, and workarounds.

-Web fundamentals like HTML, JavaScript, and CSS.

Competencies –

-Requirement Analysis.

-Task Break Down and Delegation to Team Members.

-Coding.

-Estimation.

-Code Review and Technical suggestions.

-Client Communication.

-Functional Test Case Preparation.

-Testing and Debugging old code.

-Code reuse & Performance Improvement.

-Professional documentation skills.

-Ability to adapt to any environment and gain the required knowledge in short time.

-Optimize and improve code structure.

Experience:

-Experience in Data Science & Analytics Delivery, responsible for solving business problems like forecasting, segmentation, classification using statistical and data science techniques.

-Extensive experience in analytical modelling and is able to work independently right from understanding the business problem through the development & deployment of models.

-Hands on experience in statistical and data science techniques.

-Excellent exposure to data science, statistical and modeling techniques.

-Excellent communication and presentation skills.

-Oil & Gas, industrial, automation experience preferred.

Environment:

Python (Data Science, Data Analytics)

Technology Knowledge:

SQL, Python, Data Science and Machine Learning, Data Visualization, Data Analytics, NLP, Deep Learning.

-Must be from STEM area

-Hands-on knowledge of Statistics (Predictive, prescriptive)

-Hands-on knowledge of writing production ready codes in Python/R/C++ for ML or DL models

-Knowledge in ML algorithms, text analytics, natural language processing (NLP) in python.

-Hands-on knowledge of data management (data acquisition including web/mobile/IoT interfaces, data wrangling, data standardization, data transformation)

-Possess domain knowledge at least in one of the verticals (Oil & gas, Manufacturing, Banking, Financial services, Smart city)

-Knowledge in writing REST APIs

-Hands-on knowledge of SQL & NoSQL databases & intermediate to expert level in SQL programming

-Good to have knowledge in PySQL, SparkSQL, BigQuery

-Good to have skills in either NLP or Computer vision

-Knowledge on Alteryx model

-Good to have skills in AI use cases using IoT datasets

-Good to have skills on model deployment using Docker, Nginix, Kubernetes orchestration

-Working knowledge of presentable dashboard or report either in QlikView or Power BI

-Good documentation and communication skills

Recruitment Activities:

-Involved in Internal & External hiring requisition.

-Source potential candidates through online channels (e.g. social platforms and professional networks)

-Plan interview and selection procedures, including screening calls, assessments and in-person interviews

-Assess candidate information, including resumes and contact details, using our Applicant Tracking System.

-Organize and attend job fairs and recruitment events

-Forecast quarterly and annual hiring needs by department

-Foster long-term relationships with past applicants and potential candidates.

Administrative Activities:

-Manage office supplies stock and place orders

-Prepare regular reports on expenses and office budgets

-Maintain and update company databases

-Organize a filing system for important and confidential company documents

-Answer queries by employees and clients

-Assist in HR operational work

-Maintain a company calendar and schedule appointments

-Book meeting rooms as required

-Distribute and store correspondence (e.g. letters, emails and packages)

-Prepare reports and presentations with statistical data, as assigned

-Arrange travel and accommodations

-Schedule in-house and external events.