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Crediwatch is a leading fintech organization working with leading national and international financial institutions helping them in the space of analytics, credit appraisal, risk profiling, lead generation, early warning systems. We are looking to expand our data science team who will work on cutting edge platforms and help enhance Crediwatch's proprietary deep learning models across formats for text, video, images, audio. Looking for candidates who have a hands on understanding of the various industry standard ML platforms and tools to build models at scale.
Job Description: If you have good programming skills, and want to solve complex real world problems using artificial intelligence, machine learning and computer vision while learning these on the job, READ ON. Run by IIT Kanpur alumni, AIMonk is a computer vision startup in stealth mode. We are building a uniquitous platform for computer vision using Artificial intelligence. We are looking for an entry level(0-2 years of professional experience) programmer with deep interest in software engineering. This is a machine learning engineer position but there is no machine learning experience required. What we are looking for is sharp and curious brain who gets his/her high via solving problems. Willing to work in an early stage start-up, humility and is another skill-set required. College, pedigree doesn't matter but it is a good indicator of your skill-level. People who went to NIT, BITS are encouraged to apply. However, there is a programming challenge below. If you have the skills to solve that, it doesn't matter where you went to the college or what degree do you have. Be careful, if you work with us once, ordinary jobs will not interest you any more as they won't be challenging enough. Good thing, you will learn more than what you need to land those top 0.01% interesting jobs. Job Perks: Opportunity to work with the smartest people in the country on Artificial Intelligence and computer vision. Learning, tons of it. Autonomy, respect and freedom to set your own work-hours, opportunity to fail and learn. And of course! free beer and pizza once in a while. Problem statement: https://s3-ap-southeast-1.amazonaws.com/aimonk/SDE1-problem+statement.pdf
AlgonoX Technologies is hiring Data Science Engineers from Premier Institutes to work on some cutting edge technologies! This is an exciting opportunity with a creative organization in AI/ML space having great work culture! Job role : Engineer Work Location : Bangalore/Hyderabad/Chennai depending on requirement. Educational qualification : Graduates from Premier institutes (IITs/NITs/IIITs/BITS) Experience : 1 + years AND 2017 passed outs. We are keen on hiring someone whose skill set matches the following. 1) Proven experience in Python programming with ability to write clean, well-documented and tested code. 2) Exposure to ML Libraries. 3) Knowledge on Deep learning frameworks ( Keras , PyTorch , Theano etc). 4) Prior experience on building chat bots would be added advantage. 5) Experience with manipulating large data sets (ETL). 6) Willing to research, ideate and implement practical solutions. 7) Passion coupled with knowledge on existing state of the art ML Models (Nice to have). 8) Effective communication and interpersonal skills. Proficiency/Experience/Exposure to the following : Python,Java, Node.js,TensorFlow,scikit ,Keras,Apache Solr,Selenium WebDriver Interested and those meeting the aforesaid may share their resume to satish.cherukuru@algonox.com
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 careers@busigence.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.
APPLY LINK: http://bit.ly/2GWlc3U Developer - TensorFlow Team: Sciences 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 developers with real passion for neural networks. You would be required to work with our sciences 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 have implement multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R3. Must have implemented proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R4. Must have soiled hands coding CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM, in core TensorFlow 1.3 R5. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R6. Must be able to recognize code that is more parallel, and less memory constrained, and you must show how to apply best practices to avoid runtime issues and performance bottlenecks R7. 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) R8. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain). R/ SAS/ SPSS etc are not acceptable. Preferred R9. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R10. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R11. Good to have worked on Keras on top of TensorFlow R12. Good to have distributed TensorFlow over multiple clusters R13. Good to have integrated TensorFlow with Apache Spark 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 level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with codes & workarounds, 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 careers@busigence.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/data-science 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.
We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.
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.
We are an Technology startup based in Singapore, with development office in Coimbatore and Bangalore. We are setting up AI lab in Bangalore and looking for Trainers in Deep Learning and Artificial Intelligence on Part-time and on-demand basis. Please drop me a line to discuss the opportunities further.
