ClearQuote app helps assess damages in cars based on images/videos - used by insurers, mobility providers and workshops.What’s on offer – Opportunity to lead development of a global tech product, competitive pay and stock optionsRole1) Work on identifying and implementing pre-processing of various datasets (images, videos)2) Identifying / testing the right techniques / deeplearning libraries to use to train the model and infer parts and degree of damage in test data3) Deploy training and inferencing models on cloud (and edge if required) 4) Work on improving accuracy of detectionRequirements:1)Experience in Deep learning using Convolutional Neural Networks2)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 OpenCV4)Proficiency in Python5)Should be comfortable building ML models on various deep learning and machine learning libraries using tensorflow,keras,scikit-learn,Numpy,etc6)Familiarity with Amazon Web service( Elastic Cloud Compute(EC2),Amazon Sagemaker) and deployment7)Must have work experience in image processing, computer vision areas (exposure to other machine learning / deep learning areas a bonus)
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar DevOps and production deployment engineer that is well versed with Python, Docker & Amazon Web Services (AWS) to get our AI components into production and deployed. AI/ML experience is a plus, but not necessary. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. You will be responsible for: Building Python scripts to deploy our AI components into pipeline and production Developing logic to ensure multiple different AI components work together seamlessly Managing our daily pipeline on both on-premise servers and AWS Working closely with the AI engineering, backend and frontend teams You should have the following qualities: Deep expertise in Python including: Multiprocessing / multithreaded applications Class-based inheritance and modules DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend) Deep expertise in Docker-based virtualization including: Creating & maintaining custom Docker images Automated building and deployment CI/CD Experience with maintaining cloud applications in AWS environments Experience in deploying machine learning algorithms into production (e.g. tensorflow, keras, opencv, etc) is a plus Experience with running Nvidia GPU / CUDA-based tasks is a plus Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Required: Python, AWS, Docker, Multiprocessing / multithreaded programming, pymongo, sqlalchemy. Optional: AI, Machine Learning, Tensorflow, deploying Nvidia GPU / CUDA programs Seniority: We are looking for a mid-level engineerWork Experience: 2 years to 7 years Salary: Will be commensurate with experience. Who Should Apply: If you have the right experience, regardless of your seniority, please apply. About Sizzle Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are a billion fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg.
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis. You will be responsible for: Developing audio algorithms to detect key moments within popular online games, such as: Streamer speaking, shouting, etc. Gunfire, explosions, and other in-game audio events Speech-to-text and sentiment analysis of the streamer’s narration Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them Building neural network architectures for audio analysis as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing Experience using Python, TensorFlow and other AI tools Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others Nice to have: some familiarity with AI-based audio analysis including sentiment analysis Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis. You will be responsible for: Developing computer vision algorithms to detect key moments within popular online games Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis Experience using Python, TensorFlow, OpenCV and other computer vision tools Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc. Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets. Salary: Will be commensurate with experience.
Senior Software Engineer / Full Stack Python Engineer Oloid Inc is a US based VC funded start up that is building an AI powered single sign on system for the physical world. You will be joining an industry leading organization and exceptional team previously from IBM, Stanford, Ola, INSEAD, Aruba etc. who believe in tackling hard, meaningful problems to improve the world. About you 5+ years of experience in research development with Python Expertise in Computer Vision field with 3+ years of hands-on experience involving real-world data Expertise in Image Processing Solid understanding of computer science algorithms, data structures, and numerical optimization methods Solid understanding of computer vision systems; experience with OpenCV, scikit-learn and build systems Skilled with data analysis libraries e.g. Python + pandas + scipy + numpy + matplotlib or similar Proven problem solving and analytical skills Experience with Linux, AWS, shell scripting, and configuration management systems Experience with Tensorflow, Opengl
Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years
Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code.This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore
What will you do: • Develop ML based models for financial portfolios and Investment advisory • Designing, implementing and backtesting investment strategies • Analyze investment behavior for portfolio managers to prevent frauds and malpractices • Coordinate with engineering team to incorporate models in the platform. What are we looking for: • Bachelors or Masters or PhD in Maths, Statistics, Computers • 2 to 4 years of experience • Exposure to Financial markets • Familiarity with Python/R/SciKit/Tensorflow • Familiar with SQL and page scrapping & other data manipulation tools and packages. Who is this role for: • Are you looking for a great technical challenge to solve and looking to build a new product ground up? • Do you want to work closely with leading technology solutions in world of finance and on cutting edge technologies like Algo-trading, Blockchain, etc? • Do you want to build software that will be used by millions of people all around the World and plays in 4 exciting technology domains – Social, Mobile, Analytics and Cloud (SMAC)? • Do you want to work with a team with a proven track record in both Finance domain and in Technology/Product? • Beyond this, do you have the drive to go through the cycle that is natural to any startup and finally, make it big? If you are looking for all of these, then Kristal is the place for you!!! Perks: • Apple MacBook • Working with a team of passionate people just like you who love to build products For further information visit us at www.kristal.ai
APPLY LINK: http://bit.ly/2yipqSE 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. ````````````````````````````````````````````````````````````````````````````````````````````````````` Aspirant - Data Science & AI Team: Sciences Full-Time, Trainee Bangaluru, India Relevant Exp: 0 - 10 Years Background: Top Tier institute 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. 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 students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 100 different techniques (we averaged out this figure with our past aspirants who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have required callibre to learn PySpark within four weeks once joined us R7. Good to have required callibre to grasp underlying business for a problem to be solved R8. Good to have understanding on CNNs, RNNs, MLP, Auto-Encoders - at basic level R9. Good to have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted R10. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK R11. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec 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 - 10 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 content, 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 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/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.
Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects is a must. We are looking for hands-on leaders in data engineering with the 5-11 year of research/large-scale production implementation experience with: - Proven expertise in Spark, Kafka, and Hadoop ecosystem. - Rock-solid algorithmic capabilities. - Production deployments for massively large-scale systems, real-time personalization, big data analytics and semantic search. - Expertise in Containerization (Docker, Kubernetes) and Cloud Infra, preferably OpenStack. - Experience with Spark ML, Tensorflow (& TF Serving), MXNet, Scala, Python, NoSQL DBs, Kubernetes, ElasticSearch/Solr in production. Tier-1 college (BE from IITs, BITS-Pilani, IIITs, top NITs, DTU, NSIT or MS in Stanford, UC, MIT, CMU, UW–Madison, ETH, top global schools) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.