AVE-Promagne Business Solutions LLP
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Jobs at AVE-Promagne Business Solutions LLP
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Responsibilities
• Handling customer queries via any support channel
• Approach all queries with customer centric attitude
• Offering exceptional customer service and satisfaction
• Help build and improve processes
• Adhere to set standards of TAT and SLA
• Demonstrates customer empathy during all interactions with customers.
Candidate Requirements
• 1 to 5 years’ experience in a customer support role
• Can handle verbal and non-verbal process (chat, email, phone)
• Excellent interpersonal skills
• Excellent written and oral communication skills in English and Hindi
• A quick learner
• Ability to make high quality decisions & Multi task.
Language Proficiency: English (Fully proficient), Hindi (working proficiency), Marathi & Telegu( limited working proficiency), Tamil & Kannada ( Elementary proficiency)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
Deep Learning• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job brief
We are looking for a Lead Data Scientist to lead a technical team and help us gain
useful insight out of raw data.
Lead Data Scientist responsibilities include managing the data science team, planning
projects and building analytics models. You should have a strong problem-solving ability
and a knack for statistical analysis. If you’re also able to align our data products with our
business goals, we’d like to meet you.
Your ultimate goal will be to help improve our products and business decisions by
making the most out of our data.
Responsibilities
● Conceive, plan and prioritize data projects
● Ensure data quality and integrity
● Interpret and analyze data problems
● Build analytic systems and predictive models
● Align data projects with organizational goals
● Lead data mining and collection procedures
● Test performance of data-driven products
● Visualize data and create reports
● Build and manage a team of data scientists and data engineers
Requirements
● Proven experience as a Data Scientist or similar role
● Solid understanding of machine learning
● Knowledge of data management and visualization techniques
● A knack for statistical analysis and predictive modeling
● Good knowledge of R, Python and MATLAB
● Experience with SQL and NoSQL databases
● Strong organizational and leadership skills
● Excellent communication skills
● A business mindset
● Degree in Computer Science, Data Science, Mathematics or similar field
● Familiar with emerging/cutting edge, open source, data science/machine learning
libraries/big data platforms
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Responsibilities
· Resolving technical support inquiries directly or indirectly through on-site and/or remote first-level support representatives.
· Performing routine assignments in the entry level to a professional job progression.
· Providing prompt recovery and problem escalation using multiple system management and problem management tools.
· Working closely with development teams, support teams and vendors to coordinate special operations, and communicate/escalate problems to meet assigned deadlines.
· Providing analytical support for the development & enhancement of system interfaces and develop/enhance those tools under technical direction from seniors.
· Assisting in daily support of the systems/products assigned, through early detection and pursuit of changes in system responses or operations.
· Working closely with support groups to refine system monitoring, reporting, and to assist them in their analysis and problem recovery.
· Providing prompt, clear, and timely communications; log, coordinate, and communicate problems using standard problem management and escalation procedures.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Responsibilities:
- Manage end-to-end interactions with prospective customers.
- Deliver tailored product demos to multiple stakeholders.
- Understand customer problem statements and follow a consultative sales process to offer solutions.
- Use sales acceleration tools to perform outbound and inbound sales.
- Research accounts to understand the customer's needs, perform effective follow-up, and generate interest.
- Unearth new sales opportunities through networking.
- Build strong relationships and effectively communicate with the sales, support, and marketing teams.
Requirements
- Have 2+ years of successful experience in SaaS Sales.
- Have been in a quota-carrying role.
- Obsessed with prospect happiness and can set the stage for effective sales follow-up.
- Have excellent verbal & written communication skills.
- Flexible - things change around here. FAST.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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