Lead Machine Learning Engineer

1 week ago

Bengaluru, India Observe.AI Full time
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

OpportunityIf 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 EngineerIf 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 scaleYou will optimize ML solutions for performance, scale and reliabilityYou will work with large data sets and build an ML pipeline to process and train the dataYou will run ML experiments scientifically and analyzes the resultsYou will work with the team in building exciting stuff and guide juniors in the processYou will deploy solutions into production and maintain several models for fast experimentsYou will simply, own a module end-to-end and show us your data skillsyou 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 jobWhat you’ll bring to the roleGraduate/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 signalsHands-on experience in building end-to-end models using the latest architectures.6+ years of commercial experience in ML solutions and pipelines6+ years of programming experience in Python, Shell scripting, and C/JavaHands-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 PyTorchSome of the other coolest things you deliverA world-class Speech technology that has an impact on Customers and the research communityPublish 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 consultationsYearly privilege and sick leaves as per Karnataka S&E ActGenerous holidays (National and Festive) recognition and parental leave policiesLearning & Development fund to support your continuous learning journey and professional developmentFun events to build culture across the organizationFlexible 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

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