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 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
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.
About Dataweave Pvt Ltd
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At Qrata, our people are our most important resource. We’re looking for a highly skilled recruiter to become one of them, and to help us find them. The ideal candidate will have prior experience in recruitment or human resources, with knowledge of screening, interviewing, and hiring practices. If you have a passion for finding untapped talent, driving company growth, and helping individuals find promising careers, we want to hear from you.
Objectives of this Role
- Work closely with partners to gain a comprehensive understanding of the company’s hiring needs for each position, and meet competitive hiring goals and expectations
- Manage the full recruiting lifecycle across a variety of open roles helping management find, hire, and retain quality talent
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- Stay active with current with job boards, social networks, and platforms to find talent, and plan, create, and release job descriptions and announcements
Skills and Qualifications
- 2 -5 years’ experience in recruitment (IT recruitment plus)
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We are looking for a qualified team leader to manage our team and provide effective guidance. The lead should be an excellent coder with proficiency and a clear understanding of different aspects of a project. You will be responsible for
supervising, managing, and motivating team members regularly. As a team leader, you will be the contact point for all Interactions with the architect and the team, so You must possess excellent communication skills. You should also be able to act proactively to ensure smooth team operations and effective collaboration.
Who are we looking for?
• Bachelors / Masters in Computer Science or equivalent with at least 7-10 years of professional experience.
●Strong software design and architectural skills in object-oriented and functional programming styles.
• Java 8, Microservices using Spring boot, Spring Cloud, Docker, Kubernetes orchestrator.
• Experience in working with Spring Framework - Spring Boot, Spring REST, Spring Security, Spring Data JPA, OAuth2, hibernate.
• Experience in Reactjs or Angular.
• Experience in RabbitMQ
• Experience in Unit Testing Tools like Junit/TestNG
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• Knowledge of CI/CD architecture.
• Knowledge of tools like Jenkins, SonarQube, Maven, Gitlab
• Experience in cloud technologies.
• Team management using Scrum methodologies.
You demonstrate the ability to work in a fast-paced and hyper-growth environment where the requirements are
constantly changing.
• Solid understanding of design patterns, data structures, and advanced programming techniques.
● Must have experience leading a team of at least 8- 10 people.
• Nice to have Python 3.6+, Image and textual data processing technologies.
Must Have:
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- Knowledge about Amazon web services and ability to integrate it.
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- Knowledge of Version Control using SVN/GIT.
- Ability to analyse, debug and resolve basic to complex problems on-demand (independently).
Nice To Have:
- Knowledge with microservice architecture is a BIG plus.
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Responsibilities:
- Review client requirement and provides feedback
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- Assists Manager in setting the direction for quality assurance within the organization
- Assists in recruiting new staff, conducting interviews, and evaluate potential candidates Qualifications:
- Experience in testing various applications, services, and user interfaces
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- Understanding of Agile and Waterfall processes
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- Familiarity with various defect management systems
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- We are looking for someone with 6 - 7 years of overall working experience in the software environment & 2 -3 years of experience in handling the QA Lead Role.
- Experience in Selenium.
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- Ability to act as a liaison between QA and development teams
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- implementations can be made quickly and effectively.
- Ability to motivate teams.
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- Ability to communicate in English verbally and in writing Education and Work
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We are looking for skilled Full stack Developer to join our team. The successful candidate will be responsible for developing, maintaining, and scaling our server-side application logic using Python and related frameworks. As a full-stack developer, you will work closely with front-end developers, data scientists, and project managers to develop scalable and reliable software solutions.
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Strong experience with Python and related frameworks such as Flask, Django, or Pyramid
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Experience with AWS or other cloud platforms
Familiarity with version control systems such as Git
Excellent problem-solving and debugging skills
Strong communication and collaboration skills
Ability to work in a fast-paced, collaborative environment
If you are a passionate Backend Python Developer with a strong desire to work on complex, challenging problems, we encourage you to apply.
2. Develop and monitor campaign budgets.
3. Plan and manage our social media platforms.
4. Prepare accurate reports on our marketing campaign’s overall performance.
5. CRM
6. Identify the latest trends and technologies affecting our industry.
7. Evaluate important metrics that affect our website traffic, service quotas, and target audience.
8. Work with your team to brainstorm new and innovative growth strategies.
9. Oversee and manage all contests, giveaways, and other digital projects.
10. Influencer Marketing
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17. Google Ads & Facebook Business Ads