b. Strong Technical Background:
i. Strong grasp of Nodejs/Python stack
ii. Strong programming, architecture, DevOps and QA chops.
iii. Experience working with a diverse engineering stack in a fast-paced
environment
iv. Databases/Datastores : Mysql, Redis / Memcache, MongoDB
v. Basic Understanding of Android, iOS, Web Application stacks
vi. One of SQS, RabbitMQ, SNS
vii. Familiarity with AWS and its services including RDS, ECS, EBS,
Cloudwatch, ELK, Redshift
viii. Nice to have -
1. Logging : ELK, Cloudwatch.
2. Frontend : html , css , Javascript
3. Protocols : HTTP, XMPP, MQTT, Socket.io, TC
c. Prior management and team-building experience. You'll be managing several direct reports initially and will have the opportunity to scale and build out a
high-performing engineering team
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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.
We are looking for an excellent experienced person in the Dev-Ops field. Be a part of a vibrant, rapidly growing tech enterprise with a great working environment. As a DevOps Engineer, you will be responsible for managing and building upon the infrastructure that supports our data intelligence platform. You'll also be involved in building tools and establishing processes to empower developers to
deploy and release their code seamlessly.
Responsibilities
The ideal DevOps Engineers possess a solid understanding of system internals and distributed systems.
Understanding accessibility and security compliance (Depending on the specific project)
User authentication and authorization between multiple systems,
servers, and environments
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable
application
Configuration management tools (Ansible/Chef/Puppet), Cloud
Service Providers (AWS/DigitalOcean), Docker+Kubernetes ecosystem is a plus.
Should be able to make key decisions for our infrastructure,
networking and security.
Manipulation of shell scripts during migration and DB connection.
Monitor Production Server Health of different parameters (CPU Load, Physical Memory, Swap Memory and Setup Monitoring tool to
Monitor Production Servers Health, Nagios
Created Alerts and configured monitoring of specified metrics to
manage their cloud infrastructure efficiently.
Setup/Managing VPC, Subnets; make connection between different zones; blocking suspicious ip/subnet via ACL.
Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade
AWS resources (CPU, Memory, EBS)
The candidate would be Responsible for managing microservices at scale maintain the compute and storage infrastructure for various product teams.
Strong Knowledge about Configuration Management Tools like –
Ansible, Chef, Puppet
Extensively worked with Change tracking tools like JIRA and log
Analysis, Maintaining documents of production server error log's
reports.
Experienced in Troubleshooting, Backup, and Recovery
Excellent Knowledge of Cloud Service Providers like – AWS, Digital
Ocean
Good Knowledge about Docker, Kubernetes eco-system.
Proficient understanding of code versioning tools, such as Git
Must have experience working in an automated environment.
Good knowledge of Amazon Web Service Architects like – Amazon EC2, Amazon S3 (Amazon Glacier), Amazon VPC, Amazon Cloud Watch.
Scheduling jobs using crontab, Create SWAP Memory
Proficient Knowledge about Access Management (IAM)
Must have expertise in Maven, Jenkins, Chef, SVN, GitHub, Tomcat, Linux, etc.
Candidate Should have good knowledge about GCP.
EducationalQualifications
B-Tech-IT/M-Tech -/MBA- IT/ BCA /MCA or any degree in the relevant field
EXPERIENCE: 2-6 yr
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.
Job Description:
- .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
Requirements:
Benefits:
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
Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment to maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen doctor-patient relationship and enhance the in-clinic experience.
- Understanding and improving performance of web applications through tools like Lighthouse/ Google Page Insights or similar.
- Interpreting the results and implement design improvements
- Mentoring of new members, provide directions for secure coding, and extensive code reviews to ensure the highest quality code is shipped to production.
- Configuring and managing web servers like Nginx or Apache
- Monitoring web applications using tools like AWS, CloudWatch, NewRelic APM or similar MERN stack developers, with focus on Express, React and Node
What you need to have:
- B.E/ B.Tech- Min 65 %
- Web Server Application setup for B2C with significant scale (more than 100K daily users)
- React Native based development experience
- Understanding of Mobile application development (Android and/ or iOS)
- Good understanding of Laravel framework
- Real-world experience in configuring and managing web servers like Nginx or Apache
- Good understanding of git-based SCM, Jenkins based build systems, CI/ CD pipelines, and deployment frameworks
- Sound knowledge of web application architecture
- Experience in working with stakeholders in Product Management and Business teams
- Extensive experience in building and supporting PHP or Node- based Web Server Application
- Hands-on experience in managing performance, stability, and security of node/ PHP based web applications on the server-side
Work with the product manager and come up with a fully functional UX designs for a SAAS product from the ground up.
Work with the developers and support them transforming designs to code.
Own the UX process end to end and build a world class user experience.
Should be a critical and thorough thinker.