“The only way to do great work is to love what you do”
~ Steve Jobs
About Qualitas Global:
With offices across Europe and major customers across the globe, Qualitas Global Services specializes in
Image Tracking, Data Annotation & Video Analytics for Machine Learning in verticals like Automated
Vehicles, Sports, Drones, Retail, Security & Surveillance, Medical Annotations etc. helping Automobile software manufacturers, Sports team owners, coaches & managers, Security for Retail as well as
Government agencies, etc. in facial recognition, license plate recognition, athletes performance analysis, monitoring vehicles and traffic regulations to name a few.
Qualitas Global is also well known in the industry for premium Quality Assurance of Mobile & PC Video
Games & for development of Mobile Games, Apps & Software.
With a team of highly skilled professionals, we have completed several international projects, for clients ranging from start-ups to Fortune 5 companies.
Qualitas Global has a strong client base that expects the highest level of professionalism & performance at par with global standards, hence we are only interested in people deliver brilliant work with focus & accuracy.
As a rapidly growing company we provide immense quick growth opportunities.
About The Project:
The Technical Analyst for this particularly confidential project has the responsibility to help & curate data & image for a built-in, voice-controlled personal assistant Software specifically created for Mobile Phones &
Computers manufactured by a Trillion Dollars tech company.
As a member of this ‘Confidential’ team, you will help the customer make this voice-controlled personal assistant Software even greater than before & help keep on improving it for future Machine Learning exercises. You will be part of great international team of scientists & professionals who bring Technology &
Home Automation onto your fingertips every time you hold a cell phone.
Joining our team means playing an integral role in the future of Cell Phone related Machine Learning services & bettering the world with science & technology.
About The Role:
The role entitle understanding & teaching the most used built-in, voice-controlled personal assistant software for Mobile phones in the world, in order to improve it for the customers & add new, more feature rich technology by way of teaching it through Machine Learning exercises.
This project would be highly confidential & the primary task in this role would be explained in detail by the customer’s team on selection only via final interview with the customer.
The candidates should have great command over written English language & Grammar.
You are expected to work in a fast-paced environment that requires you to be detail oriented with a high level of accuracy.
You will collaborate with our team while providing feedback to our client’s engineers to improve the tools & software used by millions of customers world-wide.
Required Training to learn Tracking & Annotation for Machine Learning will be provided in-house.
Required Skills:
1. Great English skills. Preferable a B.A. or M.A.
2. Good hand / eye co-ordination & commitment to delivering consistent & accurate results.
3. Ability to work on repetitive tasks efficiently & effectively with zero errors.
4. Ability to speak, read, and comprehend basic scientific & common sense instructions.
5. Proficient in basic computer skills & usage with organizational skills, attention to detail, communication skills & self-motivation.
6. Meet deadlines & accomplish work assignments at a rapid pace with consistently high output, quality & accuracy.
7. Expert ability to read, understand & accurately Draw or Annotate by way of explanation or comment added to an image or diagram using analytical skills.
Salary:
Starting CTC of Rs 1,80,000/- per annum onwards, upon clearing of 15 days of Paid Technical Training.
*Overtime, Monthly rewards & recognition’s as applicable.
Come be a part of our firecracker team, all set to have a blast!
Job Types: Full-time, Regular / Permanent, Fresher
Salary: From ₹180,000.00 per year
Schedule:
Supplemental pay types:
Ability to commute/relocate:
Experience:
Speak with the employer
+91 9356869315
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