Data Science
Machine Learning (ML)
Python
Amazon Web Services (AWS)
Docker
KubernetesAbout 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.
Subodh Popalwar
Software Engineer, Memorres
About MindTickle
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.
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2. Data Analysis and Interpretation:
· Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.
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3. Data Infrastructure and Tools:
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Job Description
Job Responsibilities
-
Design and implement robust database solutions including
-
Security, backup and recovery
-
Performance, scalability, monitoring and tuning,
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Data management and capacity planning,
-
Planning, and implementing failover between database instances.
-
-
Create data architecture strategies for each subject area of the enterprise data model.
-
Communicate plans, status and issues to higher management levels.
-
Collaborate with the business, architects and other IT organizations to plan a data strategy, sharing important information related to database concerns and constrains
-
Produce all project data architecture deliverables..
-
Create and maintain a corporate repository of all data architecture artifacts.
Skills Required:
-
Understanding of data analysis, business principles, and operations
-
Software architecture and design Network design and implementation
-
Data visualization, data migration and data modelling
-
Relational database management systems
-
DBMS software, including SQL Server
-
Database and cloud computing design, architectures and data lakes
-
Information management and data processing on multiple platforms
-
Agile methodologies and enterprise resource planning implementation
-
Demonstrate database technical functionality, such as performance tuning, backup and recovery, monitoring.
-
Excellent skills with advanced features such as database encryption, replication, partitioning, etc.
-
Strong problem solving, organizational and communication skill.
Machine Learning (ML)Data Science1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash
Required Skills (Non-Technical):-
1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level : Junior level - 2+ years || Senior level- 4+Years
Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST
Required Skill Set-
Project experience in any of the following - Data Management,
Database Development, Data Migration or Data Warehousing.
• Expertise in SQL, PL/SQL.
Role and Responsibilities -
• Work on a complex data management program for multi-billion dollar
customer
• Work on customer projects related to data migration, data
integration
•No Troubleshooting
• Execution of data pipelines, perform QA, project documentation for
project deliverables
• Perform data profiling, data cleansing, data analysis for migration
data
• Participate and contribute in project meeting
• Experience in data manipulation using Python preferred
• Proficient in using Excel, PowerPoint
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Data ScienceMachine Learning (ML)PythonJob brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Requirements
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2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning
3. Strong mathematical and statistics background is a must
4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
5. Strong industry experience in using design patterns, algorithms and data structures
6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models
7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
8. Experience in model building, hyper
Python- Cloud: GCP
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- Nice to have Services: Data Plex
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Follow CutshortSubodh Popalwar
Software Engineer, Memorres