About White Panda
About
White Panda as a platform offers a convenient content creation process to Digital Agencies, Brand-turned-Publishers, SAAS companies, and E-commerce platforms without the need for Micromanagement.
Being built with a model based on Language, Human Resources and Marketing, the company works with thousands of content creators to power content marketing for hundreds of leading brands. Some of our notable clients include Radisson, Apollo, Axis Bank, PNB Housing, three of the top 10 marketing agencies in India, and so on. The core team at White Panda is a diverse range of professionals who are alumni of institutions like IITs, BITS, and Goldman Sachs. The venture is funded by highly successful entrepreneurs, Tier-1 investors, and IIT Gandhinagar; and is also cash flow positive.
In the outset, the purpose of any content is to educate or entertain. We aim to have an impact on end consumers by elevating the quality of Education/Entertainment by partnering with 40 Lakh businesses globally.
Connect with the team
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Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
Pre-requisites for the Role
1.Job ID-EMDF0120PS
- Primary skill:
- C#, JavaScript, CSS, JQuery /Angular 2 +(Angular version 2 or higher), Typescript
- Microsoft .Net (ASP.NET & ASP .NET CORE)
- MVC and WebAPI
- MS SQL
- Secondary skill:
Strong background in Microsoft Technologies and SDLC concepts. Should have experience in below technologies
MS SQL Server management Studio (SSMS) to develop database objects such as Stored Procedures, Functions, views, triggers, constraints etc. and look for performance tuning and Exception handling for these components
(Good to have)
Good to have: Understanding of MS Excel VBA /MS-access/ macro codes
4.Years of Experience: 5-8 Years
- Location:(Remote)
- Position-1
- Budget- Max 25 LPA
- NP- Immediate
About Us
Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.
With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.
Job Brief
We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.
Credibility:
- You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
- You have the ability to directly connect business problems to research problems along with the latest emerging technologies.
Strategic Responsibility:
- To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc.
- To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
- To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
- To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
- To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
- To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
- To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
- To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.
Personality:
- Requires excellent communication skills – written, verbal, and presentation.
- You should be a team player.
- You should be positive towards problem-solving and have a very structured thought process to solve problems.
- You should be agile enough to learn new technology if needed.
Qualifications:
- B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
- 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
- Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
- Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
- Working knowledge of Amazon Web Services(AWS).
- Experience with Docker and Kubernetes will be a plus.
- Experience with Natural Language Processing, Recommendation Systems, or Search Engines.
Our Culture
As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.
Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.
To know more about us, feel free to go through these videos:
1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&t=6s
2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY
3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s
To view more videos, please access the below-mentioned link:
https://www.youtube.com/c/mindtickle/videos
Mindtickle is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
Job Description- Business Development Executive
This is Purely a remote position based out of Ameyo’s Delhi Sales office.
The individual will be accountable for product Introduction, Demo, Customer adoption, Initial revenue generation, and customer satisfaction, of low net worth clients.
Key Responsibility Area:-
- Sourcing new sales opportunities through inbound lead follow-up and outbound cold calls and emails
- Understanding customer business processes, needs and requirements
- Need to follow complete sales cycle from lead qualification to sales closure and revenue generation.
- Research accounts, identify key RPC's and generate interest.
- Perform effective online demos to prospects
- Sending business proposals and negotiations.
- Creating a sales pipeline to accurately reflect the relative placement of sales prospects in the purchasing process.
- Developing in-depth knowledge of product features and benefits.
- Utilizing virtual meetings to build relationships with new customers.
- Processing customers' purchase orders and liaising with project and service team to ensure the timely delivery of ordered products.
- Advising customers on suitable product selection based on their needs and specifications.
Requirements: -
- Any UG/PG with excellent listening and presentation skills.
- Proven work experience of 2 years in inside sales.
- Technically proficient on SAAS platform and understanding of telecom products
- Customer-focused with the ability to understand the client queries
- Extremely process-oriented
- Contact centre solution understanding is an added advantage
- Ability to multi-task, prioritize, and manage time effectively.
- Building strong relationship with CX level.
- Excellent negotiation and consultative sales skills.
- Exceptional customer service skills.
- Proficiency in all Microsoft Office applications and Salesforce (CRM) software.
- Worked in a similar industry.
- Handled high profile, B2B clients
Scala/Akka, Microservices, Akka streams, Play, Kafka, NoSQL. Java/J2EE, Spring, Architecture & Design, Enterprise integration ML/Data analytics, BigData technologies, Python/R programming, ML Algorithms/data models, ML tools(H2O/Tensorflow/Prediction.io), Realtime dashboards & batch, cluster compute (Spark/Akka), Distributed Data platforms (HDFS, Elastic search, Splunk, Casandra), Kafka with cross DC replication, NoSQL & In-memory DB