Associate Product Manager

Who 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

https://www.orbo.ai/.

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.
• 4+ years of industrial experience in computer vision and/or deep learning
• 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!

Mandatory Skills - 4 years in Nodejs, JavaScript, Express.js, MongoDB, Data Structures, Algorithms

"Expertise in Node.js Web frameworks like Meteor, Express, and Kraken.JS

Expertise in building highly scalable web services using Node.js, Create REST API with the help of Node middleware

Deep understanding of REST and API design

Experience designing APIs for consistency, simplicity, and extensibility.

Expertise with JavaScript testing frameworks like Jasmine, Quit, Mocha, Sinnon and Chai.

Expertise with building tools like Web pack, gulp, and grunt.

Integration of various application components

Experience in various phases of the Software Development Life Cycle (SDLC) such as requirements

analysis, design, and implementation in an agile environment, etc.

💥 What will you do?

As a Lead Frontend Engineer, you will

• Own our frontend engineering applications for two products each of which run as independent applications which query our backend systems via REST APIs

• Act as a leader and coach within the front-end engineering team, collaborating with and mentoring senior engineers.

• Collaborate on a daily basis with a small, nimble team of product managers, engineers, and UX designers to understand business requirements and user experience goals and pain points.
• Write and review modular, reusable components and features (React.js / Vue.js) and integrate backend APIs to create a seamless front-end user experience
• Integrate third-party plugins to enhance customer experience. These include 3rd party plugins which provide customer support and analytics plugins that help improve the user experience we provide to customers.
• Actively participate in code reviews
• Work with our quality assurance team to improve coverage on our automated testing suites

🙋 What are we looking for? 

While we do not have a strict list of requirements for candidates interested in this role, some indicators that you would fit this role and our engineering culture are 

• Prior experience of a few years (3+ years) with frontend frameworks as React.js or Vue.js would be essential to work on our application stack.

• You actively promote a culture of engineering excellence some of which could be writing efficient code, use of elegant design patterns, and styling your code through code-linting policies.

• You enjoy designing software architecture by collaborating with leads to explore existing systems, determining areas of complexity, potential risks to successful implementation.

• You have an eye for pixel-perfect UI and micro-interactions.
• You enjoy coaching folks to achieve outcomes through nudges.

📢 Other information you may want to consider 

• We will be flexible for the rest of the pandemic and work remotely; however, we are not a remote-first company, and the work location would be Bangalore when things settle.
• Our frontend tech stack includes React.js, Vue.js, Netlify for CI / CD, TestCafe for UX testing, d3.js, and Regraph for visualizations.

·       Lead generation and developing new business for your assigned territory.

·       Educating the clients about new media and convincing them to advertise their product using Eco-friendly media.

·       Scheduling meeting with prospective clients and drive them for generating business.

·       Handling sales process end to end from pitching to client retention.

·       Candidate shall be well aware of retail and corporate clients in the assigned territory.

·       Develop a thorough understanding of key client’s needs and requirements and preparing customized solutions.

·       Negotiating contracts with clients and meeting established deadlines for the fulfillment of each client's long-term goals.

·       Playing an integral role for the effective on-boarding of new clients.

·       Dealing with clients and efficiently handling their queries.

·       Serve as contact point for key customers and internal teams.

·       Suggest solutions that answer client needs and wants.

·       Demonstrating good communication, presentation, selling and deal closing skills.

·       Driving Business for the company and client retention will be the core expertise.

Job description:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Mining data as and when required
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Efficient stakeholder management

Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with common data science toolkits. 
• Great communication skills
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL
• Good scripting and programming skills 
• Data-oriented personality
• B.Tech, M.Tech, B.S., M.S., MBA 

Requirement / Desired Skills

Data Scientist --  Data mining skills , SQL, Advanced ML Techniques, NLP (natural Language Processing)

What you need to have: 

• Strong communication skills (written and verbal)
• Responsive, reliable and results oriented with the ability to execute on aggressive plans
• A background in software development, with experience of working in an agile product software development environment
• An understanding of modern deployment tools (Git, Bitbucket, Jenkins, etc.), workflow tools (Jira, Confluence) and practices (Agile (SCRUM), DevOps, etc.)
• Expert level experience with AWS tools, technologies and APIs associated with it - IAM, Cloud-Formation, Cloud Watch, AMIs, SNS, EC2, EBS, EFS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, Lambda, VPC etc.
• Hands on experience with Kubernetes (EKS preferred)
• Strong DevOps skills across CI/CD and configuration management using Jenkins, Ansible, Terraform, Docker.
• Experience provisioning and spinning up AWS Clusters using Terraform, Helm, Helm Charts
• Ability to work across multiple projects simultaneously
• Ability to manage and work with teams and customers across the globe