6+ Mathematics Jobs in Bangalore (Bengaluru) | Mathematics Job openings in Bangalore (Bengaluru)
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Python
Deep LearningYou will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics.
For more information visit www.gyrus.ai
Candidate must have the following qualifications
- Engineering or Masters degree in CS, EC, EE or related domains
- Proficient in OpenCV
- Profficiency in Python programming
- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch
- Must have trained and deployed at least one fairly big AI model
- Exposure to AI models for Audio/Image/Video Analytics
- Exposure to one of the Cloud Computing platforms AWS/GCP
- Strong mathematical background with special emphasis towards Linear Algebra and Statistics
Data Analytics
Google AnalyticsAbout GlowRoad:
GlowRoad is building India's most profitable social e-commerce platform where resellers share
the catalog of products through their network on Facebook, Whatsapp, Instagram, etc and
convert them to sales. GlowRoad is on a mission to create micro-entrepreneurs (resellers) who can set up their web-store, market their products and track all transactions through its platform.
GlowRoad app has ~15M downloads and 1- million + MAU's.-
GlowRoad has been funded by global VCs like Accel Partners, CDH, KIP and Vertex Ventures and recently raised series C Funding. We are scaling our operations across India.-
GlowRoad is looking for team members passionate about building platforms for next billion
users and reimagining e-commerce for mobile-first users. A great environment, a fun, open,
energetic and creative environment. Approachable leadership, filled with passionate people, Open communication and provides high growth for employees.
Role:
● Gather, process/analyze and report business data across departments
● Report key business data/metrics on a regular basis (daily, weekly and monthly
as relevant)
● Structure concise reports to share with management
● Work closely with Senior Analysts to create data pipelines for Analytical
Databases for Category, Operations, Marketing, Support teams.
● Assist Senior Analysts in projects by learning new reporting tools like Power BI
and advanced analytics with R
Basic Qualifications
● Engineering Graduate
● 6- 24 months of Hands on experience with SQL, Excel, Google Spreadsheets
● Experience in creating MIS/Dashboards in Excel/Google Spreadsheets
● Strong in Mathematics
● Ability to take full ownership in terms of timeline and data sanity with respect to
reports
● Basic Verbal and Written English Communication
Data Science● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.
● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypothesis through theoretical and empirical approaches.
● Productize proven or working models into production quality code.
● Collaborate with product management, marketing and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions
● Stay current with latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision makers.
● File patents for innovative solutions that add to company's IP portfolio
Requirements
● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.
● BS/MS/PhD in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes (only IITs / IISc / BITS / Top NITs or top US university
should apply)
● Experience in productizing models to code in a fast-paced start-up
environment.
● Expertise in Python programming language and fluency in analytical tools
such as Matlab, R, Weka etc.
● Strong intuition for data and Keen aptitude on large scale data analysis
● Strong communication and collaboration skills.
Data Science
Machine Learning (ML)PythonDeep LearningGlance – An InMobi Group Company:
Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!
Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).
What’s the Glance family like?
Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.
What can we promise?
We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.
What you will be doing?
Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners.
You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.
Basic Qualifications:
- Five+ years experience working in a Data Science role
- Extensive experience developing and deploying ML models in real world environments
- Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
- Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
- Experience in advanced math and statistics
- Excellent familiarity with command line linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models and measuring their impact
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Preferred Qualifications
- Experience developing recommendation systems
- Experience developing and deploying deep learning models
- Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
- Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
- Experience with being actively engaged in data science or other research-oriented position
- You would be comfortable collaborating with cross-functional teams.
- Active personal GitHub account.
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