What you will be doing : - Analyze the performance of various machine learning/DL algorithms on existing/new architectures - Identify bottlenecks and propose creative solutions to improve them. - Explore the commonality between deep neural networks and visual computing - Add new capabilities to data science architectures - Lead the design of components of our SaaS product. - Collaborate with other architects to define the overall user experience for the users of the platform. - Define industry standards for producing large-scale machine learning applications. What we need to see : - Minimum 5 years experience in machine and deep learning - You have an MS or PhD degree in computer science, computer architecture, or data science/artificial intelligence - You have explored architectures for Machine learning (with focus on DNN) - You love performance analysis and modeling - You are a strong C++/python programmer. - Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, global team. Your history of mentoring junior engineers and interns is a huge plus. - Ways to stand out from the crowd - You have valuable insights in numerical range/precision analysis, convergence of iterative algorithms etc.
The role involves image processing tasks including development, customisation and training of Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers and generating new ideas. Requirements Ideal candidates should have a working knowledge of: 1) Python, Tensorflow (or similar Deep Learning frameworks), CNNs (for image classification, object detection) 2) Image Processing techniques using OpenCV or other white-box image feature extraction algos
Cartisan is a start-up building AI-based software products for automotive & EV companies to better engage with their customers and enhance overall experience of owning / using a car. For building SAAS software supporting cloud, mobile and in-car apps with Machine Learning and AI capabilities, we are hiring experienced Machine Learning Engineers at our Bangalore office What’s on offer – Opportunity to lead development of a global tech product, competitive pay and stock options Requirements: 1)Experience in Deep learning using Convolutional Neural Networks 2)Sound knowledge of Object detection,Semantic segmentation,Instance segmentation(Faster-RCNN,Single shot multibox detector(SSD),Mask RCNN,Mobile-net) 3)Classic Image processing techniques using OpenCV 4)Proficiency in Python 5)Should be comfortable building ML models on various deep learning and machine learning libraries using tensorflow,keras,scikit-learn,Numpy,etc 6)Familiarity with Amazon Web service( Elastic Cloud Compute(EC2),Amazon Sagemaker)
-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.
APPLY LINK: http://bit.ly/2F83vxU Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Researcher - Deep Learning & AI Team: Research Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: INR 10-50 LPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a <real startup with meaningful product>. For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. 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 vinaigrette 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 firstname.lastname@example.org 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.
Responsibilities : The Data Scientist will lead client-facing engagements aimed at solving clients most challenging business problems through the use of inspired analytics; the assembly and integration of disparate data sources, application of machine learning methods and impactful interpretation and communication of key insights through intuitive visualization and decision support tools. Desired Profile : - Strong fundamentals of machine learning, general statistics and data science principles - Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc - Experience in some of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance - Solid data management and statistical modelling skills: SAS, R, Mahout, Matlab, Python (SciPy, NumPy), SQL and Excel - Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner - Critical eye for the quality of data and strong desire to get it right - Ability to work in a fast-paced and deadline driven environment - Strong work ethics like sense of collaboration and ownership, result orientation, being team player - Candidate should be comfortable with working from clients- office Qualifications : - B.E./B.Tech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in Computer Science/Statistics/IT/ECE stream - M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent - Minimum 4+ years of relevant work experience in Data Science Requirement : - 4+ years of IT experience in data-driven or AI technology products - Hands-on expertise on analytical tools like R, SAS, Tableau, Excel. - Excellent communication, interpersonal and managerial skills - Ability to work with minimal supervision in a dynamic and timeline sensitive work environment - Team management experience is must - Work collaboratively with the Founders and Accounts Leads in terms of project execution and timelines. - Experience in decision science tools and techniques will be added advantage.
You are responsible for: * Developing algorithms to challenge the state-of-the-art in deep learning for NLP * Generating and implement new ideas for applied AI in travel * Creating AI solutions for automated dialogue (chat bots); natural texting for booking flights, hotels etc. * Build highly performant, real time, end to end, responsive request/recommendation engines powered by natural language processing and other machine learning techniques * Build and evolve/train NLP platform from natural language text data being gathered from users on daily basis * Code using primarily Python, No-SQL, and Google Cloud (AppEngine) stack. Speed, Speed, Speed - must be a performance freak! Requirements * B.E. from IIT or NIT or Tier-1 Institutes ONLY or MS from reputed institutions or Ph.D. in Computer Science, Natural Language Processing, Computational Linguistics or closely related field * 2+ years of Natural Language Processing experience * Ability to productize research efforts into end to end running application. * Ability to work with other platform engineers; learn, build, deploy, run, debug code. * Expertise in Applied Machine Learning, Neural Networks & Deep Learning for NLP tasks * Software programming in Java or Python and knowledge of SQL and NoSQL databases * Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus. * Fundamentally very strong in software engineering principles * Track record of scientific publications and presentation at scientific conferences is a PLUS You can look forward to a lot of impacts and a lot of freedom. With that comes the responsibility to ship quality code, so we’re looking for people that take quality as a point of pride. You will be a key member of the Platform & AI research staff working on our innovative conversational commerce product. The ultimate goal of our AI team is to build a powerful and scalable AI platform that learns from users and in-house experts on a daily basis, knows more than what it’s taught and keeps learning and getting better every day.
Artificial Intelligence Architect (Leader Level – 3-7yrs) Who is Mastercard? We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products; and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes. • Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients? • Have you managed the client independently and effectively? • Do you want to play a key role in driving a world beyond cash? Role 1. Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need. 2. Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes 3. Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models 4. Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value 5. Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills 1. Works closely with clients/internal stakeholders to understand their business needs and design a technical solution 2. Proving viability of the solution through mechanisms like proof-of-concepts 3. Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers. 4. Self-driven, energetic, creative with ability to work in global teams. Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML 5. Provide technical leadership to the team members in relevant topics on AI/ML 6. Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business 7. Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications 8. Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks Functional and Technical Skills 1. Experience in building and implementing AI application in any of the 2 domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers 2. Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process) 3. Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant 4. Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono 5. Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing 6. Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc 7. Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL 8. Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning 9. Consulting and Project Management Experience preferred 10. Minimum Graduate degree in Mathematics/Computer Science/Engineering
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.