Data Science
Machine Learning (ML)
PythonWho Are We
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
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
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.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Shubham Vishwakarma
Full Stack Developer - Averlon
About Orboai
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About the Role
We are seeking a highly skilled Full Stack Developer with expertise in Node.js and React to join our dynamic team in Pune. This role involves designing, developing, and deploying scalable web applications. You will collaborate with cross-functional teams to deliver high-impact solutions while adhering to best practices in coding, testing, and security.
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- Develop and maintain server-side applications using Node.js (Express/NestJS) and client-side interfaces with React.js (Redux/Hooks).
- Architect RESTful APIs and integrate with databases (SQL/NoSQL) and third-party services.
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- API design (REST/GraphQL) and authentication (JWT/OAuth).
- Frontend Proficiency:
- Expertise in React.js (Functional Components, Hooks, Context API).
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Apply Now!
Ready to make an impact? Send your resume and GitHub/Portfolio links with the subject line:
"Full Stack Developer (Node/React) - Pune".
Local candidates or those relocating to Pune will be prioritized. Applications without portfolios will not be considered.
Equal Opportunity Employer
We celebrate diversity and are committed to creating an inclusive environment for all employees.
Strong Enterprise Data Modeller profile (Modern Data Platforms)
Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
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Ø Expertise in Azure Data Factory V2
Ø Expertise in other Azure components like Data lake Store, SQL Database, Databricks
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Ø Good exposure to Data Projects dealing with Data Design and Source to Target documentation including defining transformation rules
Ø Strong knowledge of CICD Process
Ø Experience in building power BI reports
Ø Understanding of different components like Pipelines, activities, datasets & linked services
Ø Exposure to dynamic configuration of pipelines using data sets and linked Services
Ø Experience in designing, developing and deploying pipelines to higher environments
Ø Good knowledge on File formats for flexible usage, File location Objects (SFTP, FTP, local, HDFS, ADLS, BLOB, Amazon S3 etc.)
Ø Strong knowledge in SQL queries
Ø Must have worked in full life-cycle development from functional design to deployment
Ø Should have working knowledge of GIT, SVN
Ø Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
Ø Should have working knowledge of different resources available in Azure like Storage Account, Synapse, Azure SQL Server, Azure Data Bricks, Azure Purview
Ø Any experience related to metadata management, data modelling, and related tools (Erwin or ER Studio or others) would be preferred
Preferred Qualifications:
Ø Bachelor's degree in Computer Science or Technology
Ø Proven success in contributing to a team-oriented environment
Ø Proven ability to work creatively and analytically in a problem-solving environment
Ø Excellent communication (written and oral) and interpersonal skills
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BE/BTECH
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You have experience with building real-time analytics solutions and streaming platforms
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Full Stack Developer - Averlon