Sales Executive

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!

Byteridge is currently hiring for Manual Test Engineers with experience in the ERP domain and strong hands-on skills in API testing using Postman.

Role: QA Engineer (Manual Testing)

Domain: ERP

Requirement: Must have experience with Postman for API testing

Location/Mode: Remote

About the company:

Byteridge is a digital product design and development company that builds tailored web and mobile app solutions for global clients. Recognized as a Great Place to Work for 2025-26, Byteridge is where talented professionals work on exciting, impactful products in a collaborative and growth-driven environment.

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

Role: Principal Backend Engineer

Primary Tech: Golang, Microservices, Distributed Systems

Work Mode: Hybrid (flexibility + collaboration)

We’re looking for someone who:

• Has deep experience in Golang and backend architecture
• Understands system design, scalability, and distributed systems
• Enjoys solving complex technical challenges in a high-impact environment

Key Responsibilities:

• Keyword Research: Conduct thorough keyword research using SEO tools like Google Keyword Planner, SEMrush, and Ahrefs to identify target keywords for optimization.
• On-Page Optimization: Assist in optimizing web pages for SEO, including improving title tags, meta descriptions, headers, and internal linking.
• Content Optimization: Collaborate with the content team to optimize website content, blog posts, and landing pages to ensure they are search-engine friendly.
• Technical SEO Support: Assist in monitoring site performance and troubleshooting SEO-related issues like page speed, mobile-friendliness, and site architecture.
• SEO Audits: Conduct basic SEO audits and analyze websites for performance improvements, including broken links, duplicate content, and other technical factors.
• Competitor Analysis: Analyze competitor websites and their SEO strategies to uncover new opportunities for improvement.
• Link Building: Assist in identifying and reaching out for potential backlink opportunities to increase website authority.
• Reporting: Track SEO performance using Google Analytics, Google Search Console, and other tools to generate insights and monthly reports.
• Stay Updated: Keep up with the latest SEO trends, algorithm updates, and industry best practices to ensure our strategies are always up to date.

• 4-5 years of experience in functional automation tools and frameworks (mandatory).
• Experience with the Playwright automation tool (desirable)
• Analyze logs generated from monitoring tools like Datadog, Splunk, Kibana for troubleshooting and debugging service failures.
• Perform database validation using appropriate queries to verify data integrity in SQL and NoSQL databases.
• Work effectively within an Agile development methodology and participate in ceremonies like sprint planning, daily stand-ups, backlog refinement etc.
• Identify and report bugs and defects using a bug tracking tool.
• Stay up-to-date with the latest testing tools and methodologies.
• Learn API automation and contribute to API automation deliveries.

What you need to have: