Inviz Ai Solutions Private Limited

Outline of the responsibilities

• Daily and Monthly Responsibilities:
• Utilise Pipedrive, cold calling, LinkedIn and email to generate new sales opportunities
• Identify prospect's needs and suggest appropriate products/services
• Build long-term trusting relationships with prospects to qualify leads as sales opportunities
• Proactively seek new business opportunities in the market
• Set up meetings or calls between (prospective) customers and sales executives
• Report to sales manager with weekly, monthly, and quarterly results

• Required Skills and Qualifications:
• 1-3 years of sales experience, with a history of exceeding lead targets
• Strong communication skills via phone and email
• Proven creative problem-solving approach and strong analytical skills
• Strong desire and ability to move up within a sales organization
• Experience in prospecting in US market

• Preferred Qualifications:
• Proficiency with Pipedrive or other CRM software
• Prior experience as a sales and business development rep with a track record of achieving sales quotes

InViz is Bangalore Based Startup helping Enterprises simplifying the Search and Discovery experiences for both their end customers as well as their internal users. We use state-of-the-art technologies in Computer Vision, Natural Language Processing, Text Mining, and other ML techniques to extract information/concepts from data of different formats- text, images, videos and make them easily discoverable through simple human-friendly touchpoints. 

TSDE - Data 

Data Engineer:

• Should have total 3-6 Yrs of experience in Data Engineering.
• Person should have experience in coding data pipeline on GCP. 
• Prior experience on Hadoop systems is ideal as candidate may not have total GCP experience. 
• Strong on programming languages like Scala, Python, Java. 
• Good understanding of various data storage formats and it’s advantages. 
• Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). 
• Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. 
• Data Engineer Certification preferred