Performance Marketing Lead

Requirements:

- Need strong expertise in Kubernetes and ELK

- experience in implementation/migration to Elastic on Kubernetes.

- Experience in working in large enterprise and working with various stakeholders in DataCenter, Network

Responsibilities

- Set up ECK Cluster, upgrade ECK operator

- Migrate existing projects (100+) from ELK to ECK

- Build automation in moving projects from ELK to ECK

- Perform regression testing and close any technical opens, TCM

- Define processes for new business landing

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.

**Overview:**

Join our fast-growing startup as a Sr. Ecommerce Manager, where you'll play a pivotal role in driving revenue and profit growth. This position requires a dynamic Key Account Manager (KAM) with a proven track record in ecommerce, ready to make an immediate impact.

**Responsibilities:**

- Deliver on Sales plan, gross margin plan, inventory refills, and overall P&L.

- Develop Sales targets with E-Commerce portals, creating a 360-degree marketing plan for platforms like Amazon, Flipkart, and BigBasket.

- Research market trends, monitor competitor activity, and identify promotional opportunities.

- Monitor and analyze Sales figures, making improvements to increase revenue.

- Ensure a complete product assortment, comprehensive product content, improved organic search ranking, and performance benchmarking for the Ecommerce channel.

- Generate and implement new sales and marketing initiatives for increased profitability.

- Manage the user experience of the website, including navigation, content, creative, and promotional campaigns.

- Collaborate with Brand partners to ensure a demonstrable ROI.

Requirements

- Minimum 4 years of experience in any industry.

- Ecommerce expertise on platforms like Amazon, Flipkart, Swiggy, Big Basket, and other Marketplace and Long-tail channels is a MUST.

- Ownership of Business P&L.

- Strong ability to collaborate with internal and external stakeholders.

- Willingness to experiment and continuously improve.

- Adaptability to business needs and performance accordingly.

Work Profile

• Delivering a complete front end application in AgularJS
• Ensuring high performance on mobile and browser with reusable and modular components spanning cross multiple projects
• Coordinating the workflow between the graphic designer, the HTML coder, and yourself
• Integrate with the back-end developer in the process of building the RESTful API
• Communicating with external web services for 3rd Party tools and services integration

Requirement

• Experience and proficiency with AngularJS, JavaScript and HTML5
• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience
• Creating self-contained, reusable, and testable modules and components
• Ability to provide SEO solutions and optimization
• Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed
• Creating custom, general use modules and components which extend the elements and modules of core AngularJS

Job Description – Lead Full Stack (Javascript) Engineer 

 About Freespace* (a.k.a. Workplace Fabric)  

Workplace Fabric develops solutions that makes workplaces intelligent. Our solutions help increase productivity of office workers while helping to lower the cost of real estate. Our Flagship 

product Freespace is installed in over 40 cities around the world and serves over 30,000 people every day. Starting with the first deployment in March 2016 we have rapidly grown with our solution being rolled out globally while continuing to stay cash positive. With successes at several blue-chip clients Workplace Fabric has carved a unique leadership position in workplace management and employee engagement SaaS solutions. 

*To find out more, follow us on social media – LinkedIn & Facebook @ workplace-fabric 

What is on our offer?  

• An absolutely action packed, fun, and demanding workplace lets our employees to thrive in a team-based environment with passion, fun, pride and teamwork as our core values. 
• We can offer you career opportunities to challenge, develop and exceed your aspirations with training and development throughout your career. 
• Life is never dull at Freespace as there is always something to learn, constantly pushing you to develop your skills and take on the next exciting challenge. 

 Profile Brief:  

You will be an experienced Full Stack Javascript Engineer with an interest in data and analytics, developing our fast growing Analytics Team. Working closely as an active team member, having ownership & accountability to develop analytics stories, in delivering timely projects through Scrum. Working with product owners and team leads to clarifying requirements, challenge assumptions in order to ensure successful executions and push the client analytics to its best.  

Key Skills and Experience  

Required Skills: JavaScript (ES6+), SQL, Nodejs, React 

Good to have: AWS (Lambda, Athena, S3) & AWS Certification, TypeScript, IoT, amCharts, D3.js (or industry equivalent) 

Experience: 6-10 years  

• Data processing and manipulation expert 
• Able to easily comprehend and write complex & efficient SQL queries  

• Ability to understand, design and fully document end-to-end scalable IoT systems 
• Expert in in building Well-Architected solutions using AWS Services (eg Lambda, Athena, S3 etc) 
• Experience in developing frontend analytics dashboards using .js charts 
• Hands-on and well-versed with at least one of React (preferred), Angular or Vue  
• Master in JavaScript with excellent understanding of asynchronous patterns  

• Comfortable with of ES6+, TypeScript & emerging web technologies  
• Experience of building REST APIs with Spring Boot & Express  
• Hands-on programmer 

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Key Behaviours  

• Be passionate about understanding the business problem and using data to tell the stories in delivering solutions which drive client decisions. 
• Lead by example by demonstrating best practice and mentoring of team members 
• Clear thinker with a systematic problem-solving approach, breaking the problem down into simple achievable and realistically estimated steps 
• Seeing a project through from conception into production and support ensuring quality throughout. 

• Ensure high standards by instilling  data quality checks, code reviews and documentation in work and team practices. 
• Able to challenge solutions and processes in creating the best products and environment to work. 
• Unafraid to own mistakes  
• Customer focussed 

The Data Entry/Loan Support Specialist is responsible for reviewing Mortgage loan documents to analyze and correct any discrepancies/errors and enter the data into the system. This position requires the LSS to possess high attention to detail as this position involves responsibility for the accuracy of documentation critical to the loan Originations process.

Responsibilities

• Accurately and efficiently process data by reviewing mortgage loan documents and entering data into the system / Indexing of mortgage documents into appropriate document categories / Follow directions, procedures

Requirements (Qualifications and Skills):

• High school diploma required. Bachelor's degree preferred
• 2 - 3 years of reviewing and analyzing US Residential Mortgage documents
• Knowledge of mortgage industry documents
• Ability to work in a fast-paced, team-oriented work environment
• Ability to multi-task
• Strong technical and computer skills
• Acute attention to detail
• Excellent organizational and time management skills

Salary and Benefits

• Medical insurance
• Transportation provided

Requirements:

• Overall experience in the field of Information risk and security related initiatives/ projects.
• Experience in the areas of Infrastructure Security Audit, IT Security, Vulnerability Assessment, Risk Assessment, Web Application Security, Network Security Review, Network Architecture Review, Mobile Application Security Testing, Configuration Review, Source Code Review, Wireless Pentest, Process Review etc.
• Ability to understand business concepts and integrate business risk elements into security operations.
• Experience in conducting VAPT.
• Experience with web application vulnerability scanning tools (e.g., IBM AppScan, HP Web inspect, Acunetix, NTO Spider, BurpSuite Pro).
• Strong ethics and understanding of ethics in business and information security.
• Should have exposure to Code review, Network VA/PT and App VA/PT work.
• Understanding and familiarity with common code review methods and standards.
• Experience with code scanning toolsets such as Fortify and Ounce.
• Understanding of HTTP and web programming.
• Knowledge of OWASP tools and methodologies, common security requirements within ASP.NET application, standard SDLC practices.
• Knowledge of Network Security technology in areas of Firewall, IPS, VPN, Gateway security solutions (proxy, web filtering).
• In-depth understanding on Common Vulnerability Exposure (CVE)/ Cert advisory database.