Sales Advisor

About the Role
As a Principal Software Engineer with Treebo, you’ll have the opportunity to own and deliver
product(s) that will help Treebo accomplish its goals. The engineering team is at the fore front
of implementing new technologies in order to gain a dominant foothold in the Hospitality
industry. You will design and deploy scalable, high performance, multi-tenant systems. You will
interact with other engineering teams and contribute back to the open source tech community.

Responsibilities
● Owns team's output and E2E definition and execution of SDLC. Drives sprint
planning, estimates & prioritizes tasks, Keeps key stakeholders updated on
progress, milestones and any potential slippages.
● Identifies pitfalls across code bases proactively. Writes model code that is looked
up to. Understands internals of programming languages & runtimes. Creates
common reusable components / libraries- Uses advanced data structures.
● Designs API contracts between large systems with end to end service design and
active leadership towards long term sustainability including versioning, complex
migration plans, impact analysis across products.
● Owns NFRs and pushes the envelop on performance, scalability and high availability
with cognisance towards cost of infra. Drives tech stack selection independently,
mentors junior engineers. Evangelises of generic platform building across the
organisation.
● Troubleshoots unseen issues across codebases. Solves large end to end cross
cutting problems with elegant solutions with an eye on long term sustainability.
● Partners with and influences product managers on “how”. Leads the pack on hiring
and evangalizes steeper hiring standards towards building A+ team. Represents
treebo on external platform / conferences.

Qualifications:
Bachelor's Degree in Computer Science or similar discipline
● 7+ years relevant work experience in software engineering while leading teams.
● Proficiency in more than one modern programming language such as
Python/Java/C++ & associated tech stack to write maintainable, scalable,
unit-tested code
● Experience in building complex software systems that have been successfully
delivered
● Deep understanding of design patterns, optimizations, deployments with a Strong
object oriented design skills
● Experience mentoring other software engineers.
● Experience with full life cycle development in any programming language

SKILLS & EXPERIENCE

Qualifications:

BE/BTech/ME/MTech/MCA/M.Sc./Software Science [Computer Science & Information

Technology Background]

Experience:

2+ to 4 years of relevant experience in react js

Skills:
 Knowledge in latest user-facing features using React.js, GraphQL, and CSS-in-JS.
 Strong knowledge in HTML5/CSS3, jQuery the DOM, and relevant concepts
 Strong Knowledge in REACT JS along with Webpack, Redux, React hooks, Material Kit
React, React Router.
 Developing the latest user-facing features using React.js
 Designing a modern highly responsive web-based user interface
 Should follow the Google JavaScript Style Guide and other relevant best practices Knowledge
of performance testing frameworks including Mocha and Jest.
 Must have worked as a part of Agile Teams and DevOps practices such as continuous
Integration tools (e.g. Jenkins), code repository, creating CI/CD pipelines is required.

(Senior) Data Scientist Job Description

About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.

Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.

How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! 

What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.

Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.

You are also expected to develop capabilities that open up new business productization opportunities.

We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.

If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.

Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.

Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.

Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

Full stack developer with Excellent Technical knowledge and Hands on with • Java(IntelliJ , Tomcat, apache), J2EE (Spring and Hibernate) , OOPS, AngularJS, CSS , HTML5, SQL Join & Aggregation Queries, Stored Procedures. • Agile methodology (Scrum) with Visual Studio source control • REST APIs, MySql, AWS • 5-8 years of experience Note: You will be on permanent of “Infinitum Global” and work in client Location at Wipro, Bangalore This will be C2H, After 4 to 6 months you will be permanent with Wipro

AR Caller Job Description • Responsible for calling Insurance companies (in US) on behalf of doctors/physicians and follow up on outstanding Accounts Receivable • Should be able to convince the claims company (payers) for payment of their outstanding claims • Sound knowledge of U.S. Healthcare Domain (Provider side) methods for improvement on the same • Should have basic knowledge of the entire Revenue Cycle Management (RCM) Contact insurance companies for further explanation of denials and underpayments Document actions taken in claims billing summary notes Senior AR Caller Job Description • Follow-up on the outstanding AR Claims and make calls to insurance companies if necessary. • Coordinate with the U.S Based clients on a daily basis on the WFT's assigned. • Analyze Claims and Resolve Issues. • Make Pre-Call Analysis on claims before making calls to insurance companies. • Good understanding of AR Calling process • Good in claims Specifications and medical billing terminologies. Skills Required: • Good voice and demonstrate professional demeanor via phone. • Must have 1 + yrs. of experience in US Healthcare stream in AR • Good organizational skills demonstrating the ability to execute timely follow-up. • Ability to multi-task. • Excellent analytical skills with understanding of health care claims processing. • Willingness to be a team player and show initiative where needed