About the role
As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,
from developing new models using pre-existing components to enable current systems to
be more intelligent. You should be able to train models using existing data and use them in
most creative manner to deliver the smartest experience to customers. You will have to
develop sophisticated enterprise/cloud technology applications that push the threshold of
intelligence in machines.
Working on multiple tasks at a time, you maintain a consistently high level of attention
to detail while finding creative ways to provide analytical insights. You thrive in a fast,
high-energy environment and are able to balance multiple tasks in real-time. The thrill of
the next big challenge drives you, and when faced with an obstacle, you find clever
solutions.You must have the ability and interest to work on a range of different types of
tasks and business processes, and must have a background that demonstrates this
Ability.
Assessment Fit
A Recognic team member is a highly motivated individual with a phenomenal amount of passion and energy for whatever he/she engages in; Who respects honesty, integrity, initiative and creative approach to problem solving; An inspiration to colleagues, he/she is a tenacious, and highly driven professional with a proven record of success and with a strong empathy for people - clients, partners, colleagues or vendors.
Are you,
- A successful rainmaker having engagement expertise with technology executives?
- Willing to learn, re-learn, research, break, fix, build, re-build and deliver awesome presentations to solve real business/consumer needs?
- Able to conceptualize the right solutions for complex and diverse business needs?
- An agile critical thinker, trying to improve things you witness around you?
- An open source enthusiast also familiar with cloud products and solutions?
- Able to work independently?
Key Responsibilities
- Extensive experience with Hadoop and Machine learning algorithms
- Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
- Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
- Passion for solving NLP problems
- Experience with specialized tools and project for working with natural language processing
- Programming experience in Python
- Knowledge of machine learning frameworks like Tensorflow, Pytorch
- Experience with software version control systems like Github
- Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills