Data Science
Machine Learning (ML)
Python
Deep Learning
R ProgrammingGlance – 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.
Subodh Popalwar
Software Engineer, Memorres
About Glance
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A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
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To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
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Our perfect candidate is someone that:
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- is a team player and good communicator
What We Offer:
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- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Data ScienceMachine Learning (ML)Deep LearningR ProgrammingPythonJob Description
Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.
Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.
Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.
In this role, you will:
- Extensive knowledge in machine learning and deep learning techniques
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- Segmentation of non-rigid contours in challenging/low contrast scenarios
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- Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
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How you will do this:
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- You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.
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Python● Good communication and collaboration skills with 4-7 years of experience.
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would be a plus.
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system performance.
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Python- Desire to explore new technology and break new ground.
- Are passionate about Open Source technology, continuous learning, and innovation.
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Qualifications
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Skills and Experience
- Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
- Experience with event-driven architecture design patterns and practices
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- Message brokers like Kafka and Kinesis
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- Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
- Good understanding of distributed systems.
- Candidates will be self-motivated and display initiative, ownership, and flexibility.
Preferred Qualifications
- AWS Lambda function development experience with Java and/or Python.
- Lambda triggers such as SNS, SES, or cron.
- Databricks
- Cloud development experience with AWS services, including:
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- S3
- EC2
- AWS CLI
- API Gateway
- ECR
- CloudWatch
- Glue
- Kinesis
- DynamoDB
- Java 8 or higher
- ETL data pipeline building
- Data Lake Experience
- Python
- Docker
- MongoDB or similar NoSQL DB.
- Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
- Gradle and/or Maven.
- JUnit
- Git
- Scrum
- Experience with Unix and/or macOS.
- Immediate Joiners
Nice to have:
- AWS / GCP / Azure Certification.
- Cloud development experience with Google Cloud or Azure
PythonAmazon Web Services (AWS)3+ years of experience in deployment, monitoring, tuning, and administration of high concurrency MySQL production databases.
- Solid understanding of writing optimized SQL queries on MySQL databases
- Understanding of AWS, VPC, networking, security groups, IAM, and roles.
- Expertise in scripting in Python or Shell/Powershell
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- Excellent communication skills.
Machine Learning (ML)For software developers, learning programming languages needs to be practical. This is where the startup has helped more than 15000 students to turn theory into practical knowledge. Currently, offering 9 courses the startup has played a catalyst for thousands of students to land jobs at tech giants like Google, Amazon, Adobe, and Walmart. The startup enables students to follow a comprehensive curriculum and seek help from industry experts without facing any geological barrier.
The founders of the startup are the alumnus of acclaimed institutes like IIT Delhi and Stanford University with experience of working in Amazon, Facebook, Cars24, and other top startups in India.
- Managing a team of 3-4 content developers working to create course content and projects
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- Establishing the required guidelines and processes for the team to follow while creating the content
- Training, reviewing and guiding content developers on the content work that needs to be accomplished adhering to the timelines
What you need to have:
- BE/ B.tech/ BCA/ M.Tech/ MCA with a computer science background
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- Minimum 3 years of experience working in the data science domain/ edtech content creation
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- Ability to do a detailed review of the course content and design project problem statements
- Ability to train and guide a team of content developers to manage timelines and brainstorming on course content
Data ScienceMachine Learning (ML)R ProgrammingPythonKey Responsibilities:
- Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
- Good understanding of the underlying business and workings of cross functional teams for successful execution
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- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
- Innovate on projects by using new modeling techniques or tools.
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- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
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- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
- Experience in risk and credit scoring domains preferred
Data SciencePythonR Programming
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Software Engineer, Memorres