Deep Learning Jobs in Bangalore (Bengaluru)

Junior Data Scientist- Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy   Understand company and client challenges and how integrating AI capabilities can help create solutions   Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit   Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards   Collaborate with product design and engineering to develop an understanding of needs   Research and devise innovative statistical models for data analysis   Communicate findings to all stakeholders   Enable smarter business processes—and implement analytics for meaningful insights   Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI   Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership   Manage a team to conduct assessments of the AI and automation market and competitive landscape   Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products   Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries   Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables   Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy   Analyze data for trends and patterns, and Interpret data with a clear objective in mind   Implement analytical models into production by collaborating with software developers and machine learning engineers.   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems   Bachelor’s degree in computer science Special Skills Required 1+ years of experience in applying AI to practical and comprehensive technology solutions   2+ years of experience in data science   Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark   Experience with program leadership, governance, and change enablement   Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns   Experience with REST API development, SQL design, RDBMS design and optimizations   Experience with innovation accelerators   Experience with Cloud environments   Bachelor’s degree in statistics, applied mathematics, or related discipline preferred   Proficiency in data mining, mathematics, and statistical analysis   Advanced pattern recognition and predictive modeling experience   Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)   Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects   Professional Certification     Location Bengaluru, Karnataka, India - 560072 Compensation   Senior Position CTC - 3-7 LPA Key perks Working with the best in the industry   Family Insurance Program   Wellness Benefits   Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries

Senior Data Scientist Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy   Understand company and client challenges and how integrating AI capabilities can help create solutions   Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit   Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards   Collaborate with product design and engineering to develop an understanding of needs   Research and devise innovative statistical models for data analysis   Communicate findings to all stakeholders   Enable smarter business processes—and implement analytics for meaningful insights   Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI   Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership   Manage a team to conduct assessments of the AI and automation market and competitive landscape   Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products   Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries   Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables   Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy   Analyze data for trends and patterns, and Interpret data with a clear objective in mind   Implement analytical models into production by collaborating with software developers and machine learning engineers.   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems   Bachelor’s degree in computer science Special Skills Required 5+ years of experience in applying AI to practical and comprehensive technology solutions   7+ years of experience in data science   Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark   Experience with program leadership, governance, and change enablement   Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns   Experience with REST API development, SQL design, RDBMS design and optimizations   Experience with innovation accelerators   Experience with Cloud environments   Bachelor’s degree in statistics, applied mathematics, or related discipline preferred   Proficiency in data mining, mathematics, and statistical analysis   Advanced pattern recognition and predictive modeling experience   Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)   Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects   Professional Certification     Location Bengaluru, Karnataka, India - 560072 Compensation   Senior Position 8LPA/CTC-14LPA/CTC Key perks Working with the best in the industry   Family Insurance Program   Wellness Benefits   Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries

Work-days: Sunday through ThursdayWork shift: Day time  Strong problem-solving skills with an emphasis on product development. • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and drawinsights from large data sets.• Experience in building ML pipelines with Apache Spark, Python• Proficiency in implementing end to end Data Science Life cycle• Experience in Model fine-tuning and advanced grid search techniques• Experience working with and creating data architectures.• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neuralnetworks, etc.) and their real-world advantages/drawbacks.• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,statistical tests and proper usage, etc.) and experience with applications.• Excellent written and verbal communication skills for coordinating across teams.• A drive to learn and master new technologies and techniques.• Assess the effectiveness and accuracy of new data sources and data gathering techniques.• Develop custom data models and algorithms to apply to data sets.• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.• Develop company A/B testing framework and test model quality.• Coordinate with different functional teams to implement models and monitor outcomes.• Develop processes and tools to monitor and analyze model performance and data accuracy.Key skills:● Strong knowledge in Data Science pipelines with Python● Object-oriented programming● A/B testing framework and model fine-tuning● Proficiency in using sci-kit, NumPy, and pandas package in pythonNice to have:● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes● Unit testing, Test-driven development practice● DevOps, Continuous integration/ continuous deployment experience● Agile development environment experience, familiarity with SCRUM● Deep learning knowledge

Selected candidates day-to-day responsibilities include: Working on computer vision/image processing applications like object classification, segmentation, etc. Working on deep learning algorithms for machine vision based inspection usecases Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data Having full stack development experience will be plus

Must have Skills: Extract and present valuable information from data Understand business requirements and generate insights Build mathematical models, validate and work with them Explain complex topics tailored to the audience Validate and follow up on results Work with large and complex data sets Establish priorities with clear goals and responsibilities to achieve a high level of performance. Work in an agile and iterative manner on solving problems Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches. Good understanding of Digital & analytics Strong communication skills, orally and in writing Job Overview:As a Data Scientist you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results. The Data Scientist believes in a non-hierarchical culture of collaboration, transparency, safety, and trust. Working with a focus on value creation, growth and serving customers with full ownership and accountability. Delivering exceptional customer and business results Industry: Any (prefer – Manufacturing, Logistics); willingness to learn manufacturing systems (OT systems and data stores)Primary Responsibilities: Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development Combine, explore, and draw insights from data. Often large and complex data assets from different parts of the business. Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques Prototype and pilot new solutions and be a part of the aim of ‘productifying’ those valuable solutions that can have an impact at a global scale Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions Regards, Sudarshini

Important:Credit Score is mandatory.You are expected to build deep learning models to process unstructured data like images and scanned financial documents and convert it into meaningful tables with optical character recognition technologies.You are also expected to build Machine Learning and Deep learning models for facial recognition and object comparison.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in thefield.JD To build deep learning models in Tensorflow and Keras To build Machine learning and Text Analysis projects Extensive knowledge of python, data structures, and algorithms Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc Data Analysis analysis and presenting results in a clear manner Building Deep learning models over unstructured sources such as images, speech and text data. Skills and Qualifications B.E/B.TECH/MCA in COMPUTER SCIENCE ENGINEERING ONLY or Any Degree specializing in Computer Science or Information Technology or Information Science. Excellent Knowledge of computer science engineering basics. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc  Understanding of Natural Language processing techniques and algorithms such as dimensionality reduction, NLTK, CoreNLP, Spacy Understanding of Deep learning concepts and techniques such as YoLo, Object Detection, Image Classification. Experience with common data science toolkits, such as scikit-learn, spacy, Keras. Excellence in at least one of these is highly desirable Great communication skills in English both written and verbal. Proficiency in using query languages such as SQL. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good programming skills in Python or Java. Well versed with data structures and algorithms. Deep learning & Machine learning

Machine Learning is hard, wide and tedious. Production Machine Learning, even more so. At Verloop, we consider ourselves engineers first with a focus of moving the needle and Deep Learning/NLP as a means to that.   Our team is small, nimble and young. Our teammates includes FastAI Fellows, contributors to PyTorch, active open source contributors, a published author and a PyCon India 2019 Invited speaker. As a business, we are not dependent on Venture Capital for salaries, which come from revenues -- even post-COVID. Venture Capital helps us drive growth. That is one reason we focus on being small, excellent and nimble over moving fast and breaking things.   We're looking for amazing Data Science folks who are looking to explore the Data Science Management career track.   We hope your steady head to help the young hands execute and accomplish amazing things.   What you might look like   Worked on Natural Language Processing (or Computer Vision) Experience in Deploying ML Systems to Production Engineering mindset >> Research Mindset Between 3-7 years of ML experience

You are expected to build Deep learning models to process unstructured data like images and scanned financialdocuments and convert it to meaningful tables with optical character recognition technologies.You are also expected to build Machine Learning and Deep learning models for facial recognition, and object comparison.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in thefield.• Strong problem solving skills with an emphasis on deep learning product development.• Experience in computer vision, optical character recognition, facial recognition and deep learning• Strong implementation knowledge on Array Data Structures 2D and 3D• Strong knowledge in image processing, CNN deep learning architectures, image augmentation with tensorflowand pytorch• Experience using machine learning computer languages (R, Python, SLQ, etc.) to manipulate data and drawinsights from large data sets.• Experience in building ML pipelines with Apache Spark, Python• Proficiency in implementing end to end Data Science Life cycle• Experience in Model fine tuning and advanced grid search techniques• Experience working with and creating data architectures.• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neuralnetworks, etc.) and their real-world advantages/drawbacks.• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statisticaltests and proper usage, etc.) and experience with applications.• Excellent written and verbal communication skills for coordinating across teams.• A drive to learn and master new technologies and techniques.• Assess the effectiveness and accuracy of new data sources and data gathering techniques.• Develop custom data models and algorithms to apply to data sets.• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting andother business outcomes.• Develop company A/B testing framework and test model quality.• Coordinate with different functional teams to implement models and monitor outcomes.• Develop processes and tools to monitor and analyze model performance and data accuracy.Key skills:● Strong knowledge in Data Science pipelines with Python, deep learning architectures● OCR Tesseract, OpenCV, Scikit, Pandas, Numpy, pytorch and tensorflow● Object oriented programming● A/B testing framework and model fine tuningNice to have:● Ability to work with containerised solutions: Docker/Compose/Swarm/Kubernetes● Unit testing, Test driven development practice● DevOps, Continuous integration/ continuous deployment experience● Agile development environment experience, familiarity with SCRUM

Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEO - linkedin.com/in/vikas-goel-cfa-77 58 79 10Raman Kishore - CTO - linkedin.com/in/kramankishore   We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEORaman Kishore - CTO    We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Skills: Experience in predictive modelling and predictive software development Skilled in Java, C++, Perl/Python (or similar scripting language) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic optimisation (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Must Have: Experience: 3-9 years The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage Preferred experience with large data sets & distributed computing in Hadoop ecosystem Fluency with databases

Description   About Zycus : Headquartered in Princeton, U.S. in 1998, Zycus has grown every day to be established as an organization which now is a leading global provider of complete Source-to-Pay suite of procurement performance solutions. We develop cloud-based (SaaS) Source-to-Pay solutions for large global enterprises, and have successfully deployed about 200 solutions to over 1000 Global clients. We are proud to have as our clients, some of the best-of- breed companies across verticals like Manufacturing, Automotives, Banking and Finance, Oil and Gas, Food Processing, Electronics, Telecommunications, Chemicals, Health and Pharma, Education and more. With a team of 1000+employees, we are present in India with 3 development centers at Bengaluru, Mumbai & Pune and offices in the U.S., U.K., Australia, Dubai, Netherlands and Singapore. Know more about the LEADER of: Gartner’s 2013, 2015 & 2017 Magic Quadrant for Strategic Sourcing Application Suites and The Forrester Wave™: eProcurement, Q2 2017 We are in process of launching Merlin A.I. Studio™. The artificial intelligence (AI)-based platform will allow procurement teams to to build and deploy bots across the source-to-pay process. The bots will be used by firms leveraging more than 1,100 APIs from Zycus’ solution suite. “By deploying the intelligent bots from Merlin A.I. Studio™, procurement can put themselves in cruise control mode as the bots work towards accomplishing tasks with zero human intervention,” The Fortune 500-serving firm explained in its press release “Be it running an RFI event, discovering contract risks, negotiating with suppliers or transnational procurement; all one needs to do is launch the bot and see the magic unfold.” “It will empower procurement to transform their routine, repetitive & mundane procurement tasks, so that time, effort & resources can be optimized towards more strategic initiatives.”Exp : 1 to 10 Years   Role : Data Scientist Location : Bangalore   Education : Any Engineering From IIT ,NIT , IIIT ,VIT , BITS Pilani   Please carry your original ID proof along with Hard Copy of Resume Requirements We are especially looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. If you are passionate about research and developing innovative technologies of interest to Zycus and the research community at large, the BigData Experience Lab may be the right place for you. All successful candidates are expected to dive deep into problem areas of Zycus’s interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage Zycus Skills Master’s or Ph.D. in statistics, mathematics, or computer science Only from Tier 1 Colleges Experience using statistical computer languages such as R, Python, SQL, etc. Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis Experience working with and creating data architectures Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests 2-10 years of experience manipulating data sets and building statistical models Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data. Data Scientist will report in to Director Engineering - Data Scentist & the roles & responsibilities are as below: Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Benefits : Along with a competitive compensation structure, Zycus believes in an open culture learning environment, where everyone gets a chance to share their ideas and deliver par excellence. Here's a sneak peek to our life at Zycus.

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.