Business Development Manager

Oracle BI developer with 3+ years experience working on , development and testing Good knowledge of Informatica ETL, OrOracle warehouse designacle Analytics Server Analytical ability to design warehouse as per user requirements mainly in Finance and HR domain Good skills to analyze existing ETL, dashboard to understand the logic and do enhancements as per requirements Good communication skills and written communication Qualifications Master or Bachelor degree in Engineering/Computer Science /Information Technology Additional information Excellent verbal and written communication skills.

About the Role:-

We are looking for a PHP Developer who is dedicated to
the craft, writes code that they are proud of, and can hit
the ground running. You will be a part of a full-stack
creative team that is responsible for all aspects of the
ongoing software development from the initial
specification, to developing, testing, and launching.

Requirements
3-5 years of exp in building web applications using
PHP (Laravel framework)
Very good in build rich UI using HTML/CSS and
Jquery
Good understanding of databases like MySQL,
PostgreSQL, etc.


Responsibilities
Write clean and well-designed codes
Produce detailed specifications
Troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality.
Contribute to all phases of the development lifecycle
Follow industry best practices
Develop and deploy new features to facilitate related procedures and tools if necessary

We are urgently hiring for the PHP Developer 
Notice period : immediate or woithin 15 days 
Skills required :

PHP, Cordignito, Laravel, SQL, Oops concept, strong logical thinking.

 

We are looking for a skilled react.js developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts and workflows such as Redux, Flux, and Webpack. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase.

To ensure success as a react.js developer, you should have in-depth knowledge of JavaScript and React concepts, excellent front-end coding skills, and a good understanding of progressive web applications. Ultimately, a top-class react.js developer should be able to design and build modern user interface components to enhance application performance.

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

• Bachelor’s degree in computer science, information technology, or a similar field.
• Previous experience working as a react.js developer.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Good project management skills.

Territory coverage – Shruti target customer segment includes
small, standalone ENT clinics in a large territory surrounding
the sales executive’s base location, and hence will involve
significant amount of travel and territory coverage
 Achieving Focus implementation targets – both quantity and
value – month on month ( How – field presence- 4 times a
week, minimum of 4 sales calls per day, collecting data on
target market, competitive product usage (hearing aids),
types of procedures performed, product demonstrations,
proactive product evaluations )
 Customer relationship management
 Recommending and organizing marketing activities – demos,
conference participations, booth presence
 Establishing long-term medical-scientific/strategic
relationships with Key Opinion Leaders(KOL’s) and with
related major medical associations and academic Centers of

Excellence (COE’s)
 Timely reporting of weekly reports and trackers for focus
products

(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.

Develop and manage digital marketing campaigns Manage organization’s website Optimize content for the website and social networking channels such as Facebook, Twitter, Instagram, etc Track the website traffic flow and provide internal reports regularly. Attend networking events and product launches. Identify new digital marketing trends and ensure that the brand is in front of industry developments. Work on SEO of the website pages. Edit and post content, videos, podcasts, and audio content on online sites. Promote the company’s product and services in the digital space. Execute social media efforts to improve KPIs, likes, shares, tweets, etc. Creating and executing SMS, and email-based marketing campaigns.