Machine Learning Scientist

**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.

**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 Will Do as a ML Scientist **:Work on world class Speech Technologies and build deep learning modelsWork with large data sets and build an ML pipeline to process and train the dataRun ML experiments scientifically and analyzes the resultsOptimize ML solutions for performance and scaleWork with the team in building exciting stuff and guide juniors in the processDeploy solutions into production and maintain several models for fast experiments Keep up-to-date with latest ML and deep learning literature to implement latest techniques into Observe.AI Voice & NLP platform

**Who you are**:

- 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 signalsHands-on experience in building end-to-end models using the latest architectures.4+ years of commercial experience in ML solutions and pipelines4+ 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 PyTorch

**Some of the other coolest things you deliver:

- **A 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 etcInter team coordination for research initiatives

**What we offer**:Excellent medical insurance options and free online doctor con

₹30,00,000 - ₹50,00,000 a year

**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.