Engineering Manager

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.

Experience: 2+ years 

Job Location Flexible: [Work from anywhere in India / Gurgaon based on the need] 

Selection process: HR Round followed by Group Discussion and Sales Manager Round. 

Qualification: B.com, BBA, MBA, any graduate 

Salary Offered: As per industry standard. 

About UAI Autoworks Pvt Ltd. 

UAI Autoworks is a tech-enabled car servicing, repairing and detailing platform providing 24*7 minor repair services and roadside assistance.

• .Develop and maintain the backend for a web platform in the Fin-tech Industry domain.
• Create testing framework for all business use cases Maintain Deploy builds

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

• Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
• You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
• Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

• 2-3 year of hands-on experience in speech recognitionbased projects 
• Proven experience as a Speech engineer or similar role 
• Should have experience of deployment on edge devices 
• Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
• Prior proven experience in training and deployment of deep learning models on scale 
• Strong programming experience in Python,C/C++, etc. 
• Working experience with Pytorch and Tensorflow
• Experience contributing to research communities including publications at conferences and/or journals 
• Strong communication skills 
• Strong analytical and problem-solving skills