APPLY LINK: http://bit.ly/2F83vxU Researcher - Deep Learning & AI Team: Research Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: Above standards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. Real ROLE We are looking for researchers with real passion for deep learning. You would be required to work with our research team on several deep learning applications. Mandatory R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation R2. Must be able to apply state-of-art deep learning models to our existing research and develop entirely new methods, which are advanced & modern R3. Must have designed multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R4. Must have designed proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R5. Must have designed CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM R6. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R7. Must have worked on classification, clustering, computer vision, speech recognition, text summarization, time-series analysis R8. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities) R9. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain) and atleast basic working knowledge on TensorFlow. R/ SAS/ SPSS etc are not acceptable. Preferred R10. Good to have knowledge and practical experience in application of Supervised Learning algorithms, Bayesian methods, Gaussian processes, Combinatorial optimization, Meta Learning, Transfer Learning, Convex optimization, Sparse methods, Kernel methods, Stochastic process, Statistical learning theory, and Approximate inference R11. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R12. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R13. Good to have worked on Keras on top of TensorFlow R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks R15. Great problem solver with extremely high curiosity on data processing & patterns Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors/Masters/Ph.D level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a research lab or a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with findings & innovations, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: <Do your Greatest work of life> You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to email@example.com For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/research Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
Looking for senior data science researchers. Basic Qualifications: ∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes. ∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. ∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc). ∙Strong working knowledge of deep learning, machine learning, and statistics. - Deep domain understanding of Personalization, Search and Visual. ∙Strong math skills with statistical modeling / machine learning. ∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow. ∙Experience in using Python, statistical/machine learning libs. ∙Ability to think creatively and solve problems. ∙Data presentation skills. Preferred: ∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities. ∙Or, Publications in highly accredited journals (If available, please share links to your published work.). ∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
eVidyaloka endeavors to provide quality education to children attending government schools in the remote parts of India. This is ensured by bringing Volunteer Teachers based across the globe to the villages via digital classrooms, with technology as the backbone of the Program. The initiative aims at improving the learning outcome of the children who participate in eVidyaloka's online classes and ensure that they understand and apply the concepts of their respective standards in their regular curriculum subjects. While Teacher Volunteers teach, instant access to high quality content plays a pivotal role in enabling the Teacher to deliver the concepts effectively to the child. Must-Haves: • Comfortable with browsing websites like YouTube, Google Search, PDF documents etc. • Able to Read, Write and Speak the language of instruction - Kannada, Telugu, Bengali, Marathi. • Access to a Desktop/Laptop with high speed Internet. • Prior knowledge of MS Office – Word, PowerPoint, Excel. • An academic orientation and inclination towards visual aids is an added advantage. • Keen to learn and open to constructive suggestions. • Presence of two hours per week is recommended. • An Internship certificate shall be issued on a successful completion.