11+ Transcriber Jobs in Delhi, NCR and Gurgaon | Transcriber Job openings in Delhi, NCR and Gurgaon

• Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile
• Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
• Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
• Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
• Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
• Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
• Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)
• Mandatory (Education) - Must be from Tier - 1 Colleges, preferred IIT
• Mandatory (Company) - B2B Product Companies with High data-traffic

Preferred Companies

MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle

Project Coordinator – Dwarka, New Delhi

🧑‍💼 Exp: 1–5 yrs | 🗓️ 6 Days | ⏰ 10:00–6:30

🔍 Role Overview

• 📊 Coordinate geospatial, LiDAR, drone & survey projects

• 🗂️ Track progress, manage documentation & approvals

• 💸 Ensure timely billing & deliverables

🛠️ Key Responsibilities

• 📝 Prepare project plans & schedules

• 🤝 Coordinate field, processing, QA, CAD & reporting teams

• 📅 Maintain daily/weekly trackers

• 📚 Handle DPRs, logs, QA/QC sheets & data records

• 📤 Submit raw/processed data & deliverables to clients

• 🔄 Track client feedback & revisions

• 💼 Support billing via measurements & reports

• 📞 Coordinate with clients for updates & approvals

• ⚠️ Identify risks & resolve issues

📈 KPIs

• ⏳ On-time milestones & deliverables

• ✔️ Accurate documentation

• 💳 Timely billing & reduced delays

• 😊 High client satisfaction

• 🔧 Improved workflow & reduced rework

🎓 Skills & Qualifications

• 🎓 Degree in Engineering / Geomatics / GIS / Management

• 🚁 Experience in LiDAR, Drone, GIS, CAD preferred

• 📑 Strong documentation & coordination skills

• 💻 Proficient in Excel, MS Project, Google Workspace

📨 Interested?

Send your resume

We are looking for hardcore Sales professionals who are experienced in driving sales through Online and Tele-sales channels. It requires one to have excellent communication skills and negotiation and sales prowess.

Apart from the CTC, this position offers lucrative incentives based on the targets achieved.

Key Responsibilities:

1.) Responsible for inbound/outbound prospect calls and convert them into sales.

2.) Sell products by establishing and developing relationships with prospects.

3.) Ability to convert high revenue leads.

4.) Ability to retain customers to increase repeat business.

5.) Customer identification, call planning, account management and closing.

6.) Maintain all clients contact details in CRM system (Clients Contacts, Call Reports, Price Quotes, Email Correspondence.

7.) Develop and maintain business plans to achieve sales targets.

Desired Candidate Profile:

1.) Graduate in any stream. Engineering graduates preferred.

2.) Experience in online / telesales / telemarketing.

3.) Proficiency in spoken English is a must.

4.) Familiarity with e-commerce and its components

5.) Knowledge on software like Zoho CRM, Salesforce is an added advantage.

6.) Highly analytical, self-driven individuals preferred.

About the role:

• Department - Business Development
• Type of work - Full-time
• Location - Central Delhi (Onsite)
• Working days - 6 days a week

Your Responsibilities:

• Initiating telephonic conversations with candidates interested in Outscal’s programs
• Building solid relationships with potential customers in the pipeline.
• Determining the persona and providing solutions based on the pain points of the potential customers.
• Coordinating both pre-sales and post-sales follow-ups.

Must Haves:

• 0 to 1 year of full-time sales experience (ed-tech sales would be an added advantage) .
• Ability to work efficiently under high-pressure situations
• Familiarity with tech lingo.
• Solid English communication (both written and verbal)

Good to have:

• Street smart (gives equal weightage to hard work and smart work).
• Self-learning and self-initiating attitude with attention to detail.
• Fluency with excel/google sheets or related software.
• Ability to communicate complex products in the simplest of terms with relevant examples

Compensation & Benefits

This role comes with the following:

✔️ Competitive salary

✔️ Uncapped Incentives

Apply here - https://airtable.com/appBEBz0xf345jF0R/shrrxfzI2qPAIls1f

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.
• 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!

Skills Required:

• Deep understanding of React.js and its fundamentals, ideally including modern features like hooks
• Excellent understanding of TypeScript/Javascript including the OOP concept and how shadow DOM and DOM work
• Experience with widely used React.js state managers like Flux/Redux
• Knowledge of RESTful APIs
• Familiarity with modern front-end build pipelines and tools like Webpack, Babel, NPM etc
• Knowledge of the overall browser rendering behaviour and measuring and optimising performance
• Strong hands-on experience with source code management systems like Git