
About Learning Routes
Learning Routes is one of the leading education services startups catering to the needs of working professionals by offering them varied choices in management and technology programs from reputed institutes/universities/colleges for pursuing the course online.
As Learning Routes, we are here to administer a flawless curriculum to the ones who are aspired to pursue their post graduate, diploma or certification programs from premium management universities. Reaching out to an individual, making the process user-friendly, having cutting edge innovations and giving a beneficial network of experts are just the bases of what we grant!
Industry: Education Sales Industry
Education: Graduation/Post Graduation
Work Experience : 0 – 3 years
Job Type : Full Time
Department / Functional Area of the Job: Sales /Business Development.
Job Responsibilities:
• Connecting and Counseling working professionals for Career Development Programs.
• Calling the leads and database and convert to sales.
• Promoting management programs as per the profile of the candidate
• Maintaining connect with the candidates through meetings, calls and mailers.
• Maintaining Database and records of the candidates
• Achieving the assigned Targets on monthly basis.
• Following Pre and Post Sales procedures.
• Actively contribute as a team player to encourage sales.
Skills Required:
• Competency in sales
• Self-motivated and goal-oriented, desire to deliver results
• Passionate about sales
• Ability to adapt and grow in a competitive environment
Thanks and Regards
Tripti Joshi
GL Talent acquisition Executive

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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.
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systems. Prior experience with Python is a bonus.
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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.
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numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
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● It's a huge bonus if you have some personal projects (including open source contributions) that you work
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Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
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● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.











