Data 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.

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.

Senior Netskope Technology Stack Expert (SWG/CASB/ZTNA)

Duties and Responsibilities:

• Hands on experience configuring rules and policies across the SWG/CASB/ZTNA platforms.
• Lead the Deployment and Operationalization of the Netskope Technology stack
• Defining and implementing procedures and policies to ensure proper maintenance of the environment
• Implement the process, systems, and technology required to fully maximize the platforms security capabilities
• Develop strategy, execution roadmap, priorities, and investment plans
• Partner with the leadership team to define strategic objectives
• Work closely with IT, Engineering and Security teams to ensure appropriate protections are in place while maintaining a continuity of service
• Engage Netskope’s technical teams in troubleshooting issues with current or new integrations

Required Experience and Skills:

• 5 - 7 years of leadership experience leading a team
• 3 - 5 years of experience hands-on technical design, implementation, and leadership of enterprise deployments
• Excellent knowledge and prior experience supporting network security technologies including but not limited to Proxies, NG Firewalls, SSL/IPSec, VPN’s, SSO, DLP and Encryption gateways
• Strategic capability to lead and innovate while thriving in a fast-moving environment
• A bias for action, results and delivery, with a high quality bar
• Proven track record of developing people, leading and managing high-performing teams
• An innate ability to create a sense of loyalty, trust, and positive culture. Ability to energize people and teams and establish cross functional cooperation
• Forward-thinking and problem-solving mindset; drawn to building off ambiguous and unsolved problems and “making it happen”
• Demonstrated ability to interface and maintain effective relationships with all levels of employees in a team-oriented environment

The Games Lead will work with a cross-disciplinary team to manage the development process on a new, unannounced FPS shooter game.

This person will work primarily with engineering and QA to support and facilitate the on-time and on-budget delivery of our game.

Responsibilities

• Manage hybrid Scrum-based development process using different tools such as Clickup.com, Asana, JIRA, spreadsheets, Miro, and other tools used to manage teams and processes.
• Work with engineering in planning and development oversight: manage daily check-ins, track progress, and lead end-of-sprint retros.
• Ensure we are getting the most out of engineering, work closely with design to ensure on-target implementation, and track against the schedule to keep on time and on budget.
• Ensure that we are utilizing the most effective development processes possible.
• Create reports that quantitatively track our progress every week and highlight progress and areas for improvement.
• Coordinate QA and support for maximal efficiency and effectiveness.
• Own the product roadmap, development schedule, and overall project P&L.
• Ensure we approach development focused on a key risks-based approach working closely with all disciplinary leads and the CEO.

Qualifications

• Prior lead PM or producer role on at least 1 successful F2P mobile title full lifecycle.
• Experience working on at least 3 mobile game titles, full lifecycle.
• Expert knowledge of all major development processes: You should know the whys (why are we doing things in specific ways?) and not just the actions/motions of the practices.
• Expert knowledge of all major PM tools (Asana, JIRA, and Monday at the minimum).
• Excellent leader and motivator of teams.
• World-class problem solver.
• Appropriate alignment with our company’s Values.
• Ability to think outside of process (when necessary).
• Willingness to abandon politics and bullshit and instead focus on problems & solutions and the delivery of as high quality of a product as our team can possibly create.
• An extremely hard working and get it done work attitude.

Our startup is building an AI based decentralized marketplace for the travel industry. Its founded by technologists, marketeers, and PhD/IITians from Google, Airbnb, Agoda etc.

We're looking to bring a Scala backend engineer with experience on reactive actor system using Akka/Akka-streams. The individual will be part of  our Europe based core team where individual team members have 20+ years experience each. Individual must've been hands on with scalable platform development and capable of individual contribution as well.

Certification required-
DP-100/DP-200/AZ-900 Cetification Mandatory
Requirements:

1. 3+ years of hands-on experience in Azure Databricks platform .Delta lake, Time travel design patterns. Lambda Data Architecture
2. Experience in Azure Cloud Platform. (ADLS, Blob , ADF ).
3. Understanding of big data file formats like JSON, Avro, Parquet and other prevalent big data file formats
4. Experience with Python, PySpark, Scala, Spark to write data pipelines and data processing layers
5. Demonstrate expertise in writing complex, highly-optimized SQL queries across large data sets
6. Experience with Data Governance ( Data Quality, Metadata Management, Security, etc.)
7. Strong SQL skills and proven experience in working with large datasets and relational databases.
8. Understanding Data Warehouse design principles (Tabular, MD).
9. Experience in working with big data tools/environment to automate production pipelines
10. Familiarity with Azure Synapse and Snowflake
11. Experience with data visual analysis and BI tools (matplotlib  and Power BI)