Technical Support -Voice

About Us

Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.

Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.

The Opportunity

If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms;

You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.

If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!

What you’ll do day to day as a Lead ML Engineer

• If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms.
• You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.
• You will work on architecting the ML pipelines and deploy them at scale 
• You will optimize ML solutions for performance, scale and reliability
• You will work with large data sets and build an ML pipeline to process and train the data
• You will run ML experiments scientifically and analyzes the results
• You will work with the team in building exciting stuff and guide juniors in the process
• You will deploy solutions into production and maintain several models for fast experiments
• You will simply, own a module end-to-end and show us your data skills
• you will keep up-to-date with latest ML and deep learning literature to implement latest techniques into Observe.AI Voice & Speech platform.
• If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!

What you’ll bring to the role

• Graduate/Post Graduate degree in Computer Science/Electrical Engineering from leading research institutes.
• Strong working experience in building Speech technologies like ASR, TTS, Diarization, and Speech signals
• Hands-on experience in building end-to-end models using the latest architectures.
• 6+ years of commercial experience in ML solutions and pipelines
• 6+ years of programming experience in Python, Shell scripting, and C/Java
• Hands-on experience in speech processing frameworks such as Kaldi, Espnet, Speech brain, etc.
• Experience with Machine learning and Deep learning libraries such as Scikit Learn, TensorFlow, or PyTorch

Some of the other coolest things you deliver

• A world-class Speech technology that has an impact on Customers and the research community
• Publish papers in International Speech and NLP conferences like Interspeech / Icassp / NIPS/ ASRU etc.
• Inter team coordination for research initiatives.

About the ML Team

We are a strong 25-member Machine Learning team with a focus on Speech, NLP, and Data platforms. Our main research focus is to drive the contact centers using AI which leads to improving operational efficiency, customer experience, and compliance. Our Machine Learning team pushes the boundaries in understanding the nuances in the conversation AI by processing millions of calls per day and empowering the call centers to improve efficiency.

The Speech team focuses on Speech Recognition, Speaker Diarization, and Speech Signals to understand the nuances in the behavior of the agents. The ML team is at the forefront of publishing our research in international conferences such as Interspeech, Icassp, ICML, and EMNLP AACL, and we encourage our research in the same.

Apart from work, the team loves to collaborate on research initiatives, present the initiatives/findings in internal/external tech conferences, participate in hackathons, and have formal/informal gatherings.

Compensation, Benefits and Perks

Excellent medical insurance options and free online doctor consultations

Yearly privilege and sick leaves as per Karnataka S&E Act

Generous holidays (National and Festive) recognition and parental leave policies

Learning & Development fund to support your continuous learning journey and professional development

Fun events to build culture across the organization

Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

What you need to have:

What you need to have:

• 4+ Years of experience
• Excellent analytical skills and skills to leverage data, metrics, analytics, and consumer behaviour trends to generate creative ideas
• Prior experience in ASO (organic growth)
• Experience working in a cross-functional team environment
• Awareness of different growth channels like Influencer Marketing, etc.   

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!

Job Description

We are looking for anmobile iOS developer. The ideal candidate needs to be able to hit the ground running in our fast-paced environment, and be comfortable to iterate quickly and push new code every day.

Responsibilities

• Design, develop, test, deploy, maintain and improve software and processes
• Integration with a number of third-party services
• Write high quality, high-performing and well-tested code
• Turn design requirements and prototypes into a working app
• Work closely with the technology and design teams
• Excellent communication, collaboration, and documentation

• Highly motivated, adaptable and passionate learner with a strong work ethic ethic

Requirements

• Proficiency with Objective-C and Swift

• Deep knowledge of the iOS SDK, OO, data modelling, design patterns, TDD/BDD, JSON/RESTful APIs, clean code and UX

• Analysis, profiling and optimization techniques
• Agile methodology

Please find below the required skill set

Skillsets:

• Strong Experience in Ruby on Rails
• Solid understanding of Ruby principles and core concepts.
• Good understanding of Object Oriented Concepts and principles.
• Understanding of RESTful/ SOAP APIs.
• Good understanding of front-end technologies including HTML5, CSS3, JavaScript, jQuery, ReactJS and Bootstrap framework.
• Knowledge/ Experience in SQL and PL/SQL programming.
• Excellent communication Skill.

Azine Technologies is known for our innovative technologies, products and services -- and for the people behind them. At Azine, we create identity verification products which are essentially apps, APIs, SDKs which have different modules that undergo OCR, Face Recognition, and other AI and machine learning. We’re looking for a Python Developer who can fulfil the following responsibilities.

• Design & implement new software modules based on the product requirements
• Debug existing software components, fix issues and avoid regressions
• Be proactive, take ownership and be accountable
• Familiar with Test Drive Development.
• Participate in software architecture, design discussions and code reviews

Bachelor’s degree and 4+ years of software development experience or equivalent, including Computer Vision and AI/ML.

Understanding of OCR, Neural network and Deep learning.

Expert in Java with knowledge of Java Frameworks.

Knowledge of user authentication and authorization between multiple systems, servers, and environments.

Proficient understanding with code versioning tools such as Git, SVN, etc.

Strong unit test and debugging skills.

Basic understanding of front-end technologies, such as Javascript, HTML5, and CSS3