About The Company :
Cognub insights as a service platform empower the digital consumer and enterprises to make real time in-context cognitive decisions with supporting evidence.Cognub captures the soul of your enterprise through full life cycle dynamic models powered by cognitive computing algorithms.Cognub offers serious gaming and visualization to engage you in data creation and exploration. Curated and validated data improves user trust and adoption.

Website: NA

Job Location: Trivandrum

Desired experience: 0- 3 years

Course Specialization: PhD/Masters/BTech

Target Batch Passout: 2014-2017

Training/Probation Period: None

Salary: INR 3.6 LPA (The final CTC will depend upon candidates’ performance during the interview and will be at the company’s discretion)

Bond: None

Tentative date of Joining: Immediate

Tenative date of interview: Will be communicated post registration window is closed

* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Last Date to Apply: 28th September 2017

Job Description and Skill Set Required:

- Exposure to Natural Language Processing (NLP), Machine Learning Algorithms
- Exposure to Deep Learning
- Should have genuine interest and passion for technology, including Artificial Intelligence
- Experience with validation techniques, and using statistical techniques in decision making
- Should be able to work as a team which involves team collaboration, group discussions, represent Cognub in presentations and conferences.
- Should be comfortable in playing an independent role with interfacing with Onshore Business
- Analytical, inquisitive, adaptable, out of the box thinking
- Should be a self-starter, creative thinker and a confident communicator with passion for excellence.
- Python/Java
- Scala
- Tensor Flow/Theano
- Should have excellent written and verbal communication skills in English.

Interview Process:

- Telephonic technical round
- Skype – Technical round
- Face to Face rounds with HR and Director/CEO

About The Company :Cognub insights as a service platform empower the digital consumer and enterprises to make real time in-context cognitive decisions with supporting evidence.Cognub captures the soul of your enterprise through full life cycle dynamic models powered by cognitive computing algorithms.Cognub offers serious gaming and visualization to engage you in data creation and exploration. Curated and validated data improves user trust and adoption.
Website: www.cognub.com
Job Location: Trivandrum
Desired experience: 0- 3 years
Course Specialization: PhD/Masters/BTech
Target Batch Passout: 2014-2017
Training/Probation Period: None
Salary: INR 3.6 LPA (The final CTC will depend upon candidates’ performance during the interview and will be at the company’s discretion)
Bond: None
Tentative date of Joining: Immediate
Tenative date of interview: Will be communicated post registration window is closed
* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.
Last Date to Apply: 27th September 2017
Job Description and Skill Set Required:
-  Work as part of a virtual team on specific AI/ML/NLP/DL related challenges in specific industry domains / current projects in delivery.- Research and develop statistical learning models for data analysis.- Collaborate with product management and engineering departments to understand company needs and devise possible solutions.- Keep up-to- date with latest technology trends.- Communicate results and ideas to key decision makers.- Implement new statistical or other mathematical methodologies as needed for specific models or analysis.- Intern to hire option- Should be a self-starter, creative thinker and a confident communicator with passion for excellence and self belief.- Should be able to work as a team which involves team collaboration, group discussions, group presentations, problem solving and ability to think out of the box and share ideas in a team environment.- Should have excellent written and verbal communication skills in English.- Candidates in there final Year candidates can also apply
Interview Process:
- Telephonic technical round- Skype – Technical round- Face to Face rounds with HR and Director/CEO