SDE III Machine Learning

at MindTickle

SDE III Machine Learning

MindTickle

Company

Home

SDE III Machine Learning

at MindTickle

Posted by Shama Afroj

6 - 10 yrs

₹30L - ₹65L / yr (ESOP available)

Pune, Bengaluru (Bangalore)

Skills

Machine Learning (ML)

Data Science

Natural Language Processing (NLP)

Computer Vision

recommendation algorithm

Python

MySQL

NOSQL Databases

Amazon Web Services (AWS)

Docker

Kubernetes

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.

About Us

Job Brief

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

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About MindTickle

Founded :

2011

Type :

Product

Size :

100-500

Stage :

Raised funding

About

MindTickle is a sales readiness platform for onboarding, product training, coaching and ongoing readiness, that helps fast growing companies to prepare their sales teams and partners in a scalable and effective way. MindTickle has proven success in reducing ramp-up times for new sales reps and increasing the productivity of the entire sales team.

The vision at Mindtickle is to build a platform to simplify the work of customer-facing employees. A testament to this vision of #SalesReadiness is our recent funding from Softbank Group Corp valuing us $1.2B. With 200+ enterprise customers ranging from pre-IPO companies to fortune 2000s, we could not have asked for more.

Now as this rocketship shifts gears to scale, we are looking for talented & sincere product folks to join our team. Oh! you might have questions on our work culture, do visit our Glassdoor page and read why we have a 4.8 rating.

Connect with the team

Vipul Kalia

Prakash Prabhakar

Shaiju Thomas

Nishant Mungali

Chinmay Kulkarni

Sagar Bahegavankar

Akanksha Negi

Rohit Chib

Tejal Roy

Ekta Singh

Prakash R

Company social profiles

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