Sales Executive

Work with product managers and development leads to create testing strategies · Develop and scale automated data validation framework · Build and monitor key metrics of data health across the entire Big Data pipelines · Early alerting and escalation process to quickly identify and remedy quality issues before something ever goes ‘live’ in front of the customer · Build/refine tools and processes for quick root cause diagnostics · Contribute to the creation of quality assurance standards, policies, and procedures to influence the DQ mind-set across the company
Required skills and experience: · Solid experience working in Big Data ETL environments with Spark and Java/Scala/Python · Strong experience with AWS cloud technologies (EC2, EMR, S3, Kinesis, etc) · Experience building monitoring/alerting frameworks with tools like Newrelic and escalations with slack/email/dashboard integrations, etc · Executive-level communication, prioritization, and team leadership skills

Responsibilities:

• Design and build advanced hybrid mobile applications using React Native
• Lead the application development effort by being the SPOC
• Build hybrid apps using React Native for Android/iOS
• Publish apps to corresponding App store/Play store
• Implement new technologies to maximize application performance and optimize load time
• Collaborate with the back-end developer to build the RESTful APIs
• Research on emerging technologies and trends
• Participate in the planning and design of future software and technical architectures

Qualifications

• 3+ years of hands on experience in the full life cycle of Hybrid mobile application development including publishing one or more apps to the play store & app store
• Must have developed Hybrid Mobile application using React. Hands on Working experience of React Native is a must.
• Experience developing back-end services preferably with NodeJS.
• Experience in developing apps on native Android/iOS platforms is a plus
• Experience in designing and working with n-tier architectures (UI, Business Logic Layer, Data Access Layer) along with some experience with service-oriented architectures (SOA)
• Strong skills in RESTful web services
• Experience with Agile methodologies would be helpful

Full Stack Developer
PHP
MySQL
Our Tech Stack:
React JS | Python | Django | Mongo | Elastic Search | AWS | Docker | Redshift

If you live and breathe marketing, we need to talk. We're looking for a flexible and
versatile marketer who can create content, manage socials and loves emails as
much as we do.

Job description:
Manage Social Media campaigns for various social media platforms to align with
marketing strategies.
Publish content that meets the brand’s communication style.
Implement social media strategies to increase engagement & followers.
Writing, editing, and proofreading content.
Manage content across all platforms, including email and social media.

Requirements:
8 years of experience in a similar role.
Adept at keyword placement and SEO best practices.
Excellent written and verbal communication skills.
Highly computer literate and advanced knowledge of HTML.
Experience with social media management.
Creativity and the ability to develop original content.
Can handle new tools to manage social platforms and analytics
Quick learner and self-motivated
Can own up to a task given, take responsibility and execute the task efficiently

(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.

This is an exciting early stage startup. It is a rare opportunity where the founders are attacking a large untapped market, has removed a huge risk by already closing a solid round of funding from top-tier VCs and yet very early stage where you can come and set the product direction, working closely with the founders. Unlike ecommerce or hyperlocal, this is a largely untapped market. The core team in this company are veterans who have had very successful exits and are strongly business, product and tech oriented. They’ve built very strong cultures in the past

Full stack development at an exciting startup. We are technologists by background and are providing intelligent solutions for complex industrial operations. You will be part of core engineering team responsible for delivering highly scalable solutions for industries. Key Skills : - Will be expected to architect, develop and maintain large-scale distributed systems - Should have excellent coding skills and good understanding of MVC frameworks - Programming Language agnostic, but experience in Python-Django would be a plus - Familiarity with hosting web services like AWS - Sound understanding of frontend web technologies such as HTML, CSS, JavaScript, jQuery, Angular 2 etc

Looking for Mobile App Developers who have worked extensively in the below area. Roles & Responsibilities 1 to 2 Years of experience in Phonegap / Hybrid Development . Strong experience in Front End web / mobile Development Experience in apps development using HTML5, Javascript, jQuery, SQlite, CSS3 Responsible for developing applications for iOS / Android OS phones and tablets Experience with GUI/UI/UX would be a huge plus! Primary Skills (Required) Mobile App Development using HTML5 (jQuery, Knockout, dojo, SQLite etc) Excellent knowledge of Javascript and jQuery . Development experience on multiple platforms - iOS, Android, Windows Preferred knowledge of hybrid Mobile Web Frameworks such as Sencha Touch, jQuery Mobile and PhoneGap. Secondary Skills (Nice to Have) Knowledge of Web Services required like: JSON, SOAP, REST and XML based web services. Experience in Kony / Worklight are added advantage Other Notes: Experience Level from 2 to 7 years. Candidates who can join quickly will be given preference. What We Offer An ambitious company culture that takes a good work / life balance into account Chance to work on cutting edge and very innovative technologies for a 'World Class Product' A young team with fun colleagues A learning environment where knowledge acquisition and sharing is an absolute must