Academic Counselor

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.

Company Details:

Company – PricewaterhouseCoopers (MNC Group)

Website     https://www.pwc.com/">https://www.pwc.com/

About PWC (PricewaterhouseCoopers) -PricewaterhouseCoopers is a multinational professional services network of firms, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people.

Job Role - Randstad Payroll (Client Inhouse)

Interview Process – Video Call Interview or Telephonic Interview

Salary – Best in Industry

Requirement -  Consultant and Experience Consultant

Qualification -  CA qualified/sCA semi-qualified 

Travelling - Yes

Roles and Responsibilities

1. Responsible for internal audit procedures and work programs for clients
2. Execute the assignment as per internal standards
3. Drafting of report as per internal standards
4. Ensuring compliance with Audit Standards & completing audits within timelines.
5. Good Comm. skills so as to communicate with clients independently on audit matters

• 2-7 years of total experience in Product Development.

• BE/BTech or any relevant degree with a background in consumer internet products
• 2-4 years’ experience delivering highly successful and innovative products with your fingerprints all over them - you’re extremely proud of what you’ve accomplished
• You carry the optimum blend of business, creativity (UI/UX) and technology.
• You are hands-on and go-getter to build & enhance your product through team work.
• You are on a constant drive to expand the product through research & stitching new partnerships.
• Person from a travel & accommodation background will be preferred.
• You’re expected to be a polymath who can bring ideas and analogies from different domains to solve a problem. You should be able to understand third or fourth level metrics.
• Stellar design instincts and product taste
• Finger-tippiness with data: you just go get the data you need with no muss/fuss and can whip it into an insightful story with no help. You know how to leverage data to make decisions without getting stuck in analysis paralysis.
• Grittiness: You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away.

• Hands on experience on MS Excel is preferred.
• Most importantly, you should be fun to work with.

• You’ll be responsible for absorbing all the complexities of the domain and make simple, elegant and polished products for our users. You’ll have to learn and unlearn fast across domains.
• You’ll be working closely with the engineers, designers and analysts who care deeply about their product. You should be able to quickly build rapport with them. Persuasiveness is more valued here than authority.
• You’ll be owning product charters and would be responsible for every delivery. Your product charter will change as we evolve.
• You should be able to understand macro changes in the market and identify potential opportunities and risks. You should be able to plan features in smaller sprints while keeping an eye on the larger vision.
• You’ll be extremely meticulous and prudent in testing every feature that goes out. We ship high quality software.
• You’ll be the internal evangelist of the product who will go to everyone and help them understand why we should build a feature.

• Strong written and verbal communication skills. 
• Ability to work independently and meet tight deadlines.
• Team player who can adapt to new and evolving processes.

• Provide overall thematic leadership and guidance on agriculture and allied activities to different project teams

• Field visits to project implementation areas

• Involve and assist in the implementation of agriculture-related projects and monitoring of the same

• Providing active technical support to various agriculture and allied activities and responding to queries of the farmers/ project team being undertaken in different districts

• Assist in preparation of rehion-based advisories and POPs (Package of Practices) for different crops

• Assist in data collection and analysis of various agricultural Interventions studies

• Liaison with government functionaries, government departments,Universities and KVKs

• Technical support and guidance to staff, identified farmers, SHG groups, village development committees as and when required on production systems, crop insurance, crop advisory, micro-irrigation, animal husbandry and organic cultivation

• Preparation of crop calendar for all crops grown in the project villages covering all the season i.e. Kharif, Rabi and Zaid

• Support the conduct of trainings & development manuals

• Prepare presentations and reports, produce written outputs of the implementation work and research outcomes

• Document the best practices and maintaining data base

• Contribute to the research on agriculture component

• Perform any other team responsibilities / duties as assigned from time to time

Hiring For

Front-End Engineer - I / II / III

Radical is a platform connecting data, medicine and people -- through machine learning, and usable, performant products. Software has never been the strong suit of the medical industry -- and we are changing that. We believe that the same sophistication and performance that powers our daily needs through millions of consumer applications -- be it your grocery, your food delivery or your movie tickets -- when applied to healthcare, has a massive potential to transform the industry, and positively impact lives of patients and doctors. Radical works with some of the largest hospitals and public health programmes in India, and has a growing footprint both inside the country and abroad. 

As a Full Stack Engineer at Radical, you will:

• Work closely with all stakeholders in the healthcare ecosystem - patients, doctors, paramedics and administrators - to conceptualise and bring to life the ideal set of products that add value to their time
• Write code on the front-end, the back-end and anything it takes to solve the problems and delight users both internally and externally
• Build systems which have an extraordinary emphasis on capturing data that can help build better workflows, algorithms and tools
• Work on high performance systems that deal with several million transactions, multi-modal data and large datasets, with a close attention to detail

We’re looking for someone who has:

• Familiarity and experience with writing working, well-documented and well-tested code in at least two of the following: React/Redux (preferred), NodeJS (preferred), Golang and Python
• Proficiency in the features of the language they are using, with knowledge of standards and best practices (Eg: ES2015 and above, Python 3.5 and above, React Hooks/HOC/Redux)
• Knowledge of databases, and familiarity with REST API patterns
• Experience integrating with a wide variety of external tools and services
• Experience navigating AWS and leveraging appropriate services and technologies rather than DIY solutions (such as hosting an application directly on EC2 vs containerisation, or an Elastic Beanstalk)

It’s not essential, but great if you have:

• An established track record of building systems from scratch
• Experience with microservices and decomposition of monolithic architectures
• Proficiency in automated tests
• Proficiency with the linux ecosystem
• Experience in deploying systems to production on cloud platforms such as AWS
• Experience in TypeScript
• Meaningful open source contributions 

The position is open now, and we are onboarding immediately. 

Please write to us with an updated resume, and one thing you would like us to see as part of your application. This one thing can be anything that you think makes you stand apart among candidates: it can be an interesting hobby project that you’ve self-hosted, a research paper that’s been published, a collection of blog posts you’ve written, a repository you maintain, or your contributions to a major library. 

Radical is based out of Delhi NCR, India, and we look forward to working with you!

We're looking for people who may not know all the answers, but are obsessive about finding them, and take pride in the code that they write. We are more interested in the ability to learn fast, think rigorously and for people who aren’t afraid to challenge assumptions, and take large bets -- only to work hard and prove themselves correct. You're encouraged to apply even if your experience doesn't precisely match the job description. Join us.