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.
• Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.• Experience in selecting features, building and optimizing classifiers using machine learning techniques.• Prior experience with data visualization tools, such as D3.js, GGplot, etc..• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.• Basic understanding of the banking industry is value addDevelop, process, cleanse and enhance data collection procedures from multiple data sources.• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.• Work closely with product teams to implement algorithms with Python and/or R.• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.• Facilitate integration with enterprise applications using APIs to enrich implementations
Atleast 4 years experience in text mining, natural language processing, machine learning applied to text data, information extraction and information retrieval Experience developing and applying NLP and machine learning methods in java, python, or scala Experience in Python libraries for text data analyses and machine learning such as NLTK, Spacy, ScikitLearn, Tensorflow, Word2Vec, Bert Experience in document indexing systems such as Elasticsearch, Solr or Lucene Experience with Apache open-source text mining frameworks such as UIMA or GATE is a plus Experience working with biomedical open-source ontologies and terminologies such as MeSH, MedDRA, UMLS, SNOMED etc. is a plus Experience with publication databases such as PubMed, PubMedCentral, ClinicalTrials.gov, PatBase, FreePatentsOnline is a plus Experience working with open-source lexicons such as Dbpedia, WordNet is a plus Experience developing or applying text analytics solutions in Hadoop data lake environment is an added asset Excellent written and verbal communication skills, with ability to communicate effectively within the team Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity.
About Role● Solving application security problems using ML by building a proof of concept and productionising ML pipelines● Conceptualising, designing and implementing ML platform/pipelines for solving ML problems at scale and in a quick iterative manner at massive data scale● Strong collaboration with Data scientist and other stakeholdersQualifications● Master’s degree in computer science from top universities (tier 1 only). Specialisation in ML is preferred. PhD from top Universities in the US and IISc in India is a strong plus.● Minimum 5 years of work experience in developing ML pipelines and products using Java and Python● Strong understanding of ML concepts and use of common ML algorithms applied to discrete sequences and high dimensional categorical data● Strong software development skills including familiarity with data structures & algorithms, software design practices.● Strong understanding of various ML frameworks● Experience of working on anomaly detection and security products will be a strong plus● Experience of working in SaaS enterprise companies will be a strong plus● Demonstration of knowledge in applied machine learning via participation in Kaggle-like challenges is an added bonusAs a founding engineer, you can expect top compensation, good startup equity to create mid/long term wealth, opportunity to create a top notch product/platform bottom-up, opportunity to work with some exceptional people with a strong workplace culture.
Job Brief and Requirements • We are looking for a Machine Learning/Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications. • Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques • NLP Skills/Tools: NLP, HMM, CRF, LDA, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, CoreNLP, NLU, NLG etc., • Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. • Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc. • Understanding of data creation. Develop highly scalable classifiers and tools leveraging machine learning and rules based models. • Work closely with product teams to implement algorithms that power user and developer-facing products. • Perform user research and evaluate user feedback.
We are looking for a Node.js Developer who is proficient with writing API's, working with data, using AWS and capable of applying algorithms mainly machine learning-based to solve problems and create/modify features for our students. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well. Responsibilities Integration of user-facing elements developed by front-end developers with server-side logic Writing reusable, testable, and efficient code Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Use of algorithms to drive data analytics and features. Ability to use AWS to solve scale issues. Apply if you can only arrive for a face to face interview in Bangalore.
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.
About us DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.Data Science@DataWeaveWe the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.How we work?It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!What do we offer?- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!- Ability to see the impact of your work and the value you're adding to our customers almost immediately.- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.- Last but not the least, competitive salary packages and fast paced growth opportunities.Who are we looking for?The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities. We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred). Key problem areas- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.- Ensemble approaches for all the above problems using multiple text and image based techniques.Relevant set of skills- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.- Use the command line like a pro. Be proficient in Git and other essential software development tools.- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.Role and responsibilities- Understand the business problems we are solving. Build data science capability that align with our product strategy.- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.- Build robust clustering and classification models in an iterative manner that can be used in production.- Constantly think scale, think automation. Measure everything. Optimize proactively.- Take end to end ownership of the projects you are working on. Work with minimal supervision.- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
We at niki.ai are currently looking for a NLP Engineer to join our team. We would love to tell you a little more about the position and learn a few things about you. Below is the job description for the Natural Language Processing Engineer Role for your reference. Job DescriptionNiki is an artificially intelligent ordering application (niki.ai/app). Our founding team is from IIT Kharagpur, and we are looking for a Natural Language Processing Engineer to join our engineering team.The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data available from Indian mobile consumers and elsewhere.Major responsibilities would be:1. Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc.2. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models3. Work closely with product teams to implement algorithms that power user and developer-facing productsWe work mostly in Java and Python and object oriented concepts are a must to fit in the team. Basic eligibility criteria are:1. Graduate/Post-Graduate/M.S./Ph.D in Computer Science/Mathematics/Machine Learning/NLP or allied fields.2. Industry experience of min 5 years.3. Strong background in Natural Language Processing and Machine Learning4. Have some experience in leading a team big or small.5. Experience with Hadoop/Hbase/Pig or MaprReduce/Sawzall/Bigtable is a plusCompetitive Compensation.What We're BuildingWe are building an automated messaging platform to simplify ordering experience for consumers. We have launched the Android App: niki.ai/app . In the current avatar, Niki can process mobile phone recharge and book cabs for the consumers. It assists in finding the right recharge plans across topup, 2g, 3g and makes the transaction. In cab booking, it helps in end to end booking along with tracking and cancellation within the App. You may also compare to get the nearest or the cheapest cab among available ones.Being an instant messaging App, it works seamlessly on 2G / 3G / Wifi and is light weight around 3.6 MB. You may check out using: niki.ai app
About Kiwi India Pvt .Ltd. Kiwi is a mobile entertainment company backed by top tier investors. We're focused on building the next generation of mobile entertainment platforms and applications incorporating rich media content and AI. Located in Bangalore, Karnataka, and Santa Monica, California, the company has previously built hit mobile titles on both Android and iOS, with top grossing games on the Android platform. OUR PRODUCT Joyride is a live game show app, with a growing lineup of interactive and diverse shows. Players can team up with their friends to compete against the community and split real cash prizes, and even host their own shows! On Joyride, you'll get to: Play in live shows for real money and bragging rights! Create your show and play on-camera for your followers Play as a team with friends Interact with the community in text chat to find new friends Join video chats with friends to keep playing when the show's over We have the following games live: Quizzo: Live trivia game. Careful - if you get one wrong, you’re out! Trivia Crush: It’s all about speed! Answer the trivia questions as fast as possible to make the cut. Music Mania: This song sound familiar? Guess the song title to stay in the game! Film Frenzy: Know this movie? Guess the film title to stay in the game! Sold!: Guess the auction price for an array of weird and wonderful items! Superfans: Are you the expert on Harry Potter? DC Comics? Then this show is for you - all themed trivia, all the time. Swipe: See how well you know our guests as you swipe through potential dates! The Crush: Help our guest choose between two potential dates as they get to know each other on camera Drawzzle: Watch the Host draw clues, and guess the word to stay in the game ….And many more shows coming soon. Get a glimpse of Joyride (Channels where we stream our game shows): Youtube Channel Twitch Channel FB Page JOB DESCRIPTIONKey Responsibilities: Track key metrics including retention, monetization, virality and general engagement. Provide various product and user insights to optimize the metrics and drive key business decisions Research into market data as well as user demographics to make well-informed decisions on future business strategies, product roadmap and production roadmap Bring expertise in your product areas and conduct rigorous A/B tests and data analysis to help improve customer experiences and identify profitable growth opportunities Managing various real-time reports and help stakeholders translate reports and data into actionable insights. This includes: P&L, LTV, virality and user behaviour reports with Product Team App performance, programming bugs with Tech Team User Acquisition and cost reports with Marketing Team and more Skills Required 7+ years of analytics experience in a consumer internet business with exceptional quantitative skills 2+ years of experience in product analytics Experience in analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) is a plus Experience in mobile or social games is a plus Experience in managing and leading teams is a plus Proficient in SQL, scripting (either of spreadsheets scripting/VBA/Java etc.) Experience in statistical analysis using a statistical programming language like R Detail-oriented and data driven mindset and aptitude for solving complex, unstructured problems involving multidimensional datasets Proven ability to work effectively with multifunctional teams Driven to succeed with a strong work ethic Excellent interpersonal and communication skills Bachelors or Masters in engineering/statistics or similar field from top tier colleges like IITs, IIITs is preferred
Job description: Amazon’s Worldwide Consumer Engagement organization brings customers to visit amazon websites, engage them on site and help them purchase from Amazon’s retail sites. This is achieved through highly personalized messages delivered via all available large scale communication channels—both free and paid and offering engaging experience on website. The organization builds, operates, and improves the technology systems that power all marketing channels, and manages prioritization and marketing spend decisions. Consumer Marketing consists of a series of single-threaded technology and business teams, each of which owns the entirety of a channel of communication or customer segment: natural and paid search (i.e. SEO and SEM), affiliate marketing (Associates), display advertising, email, browser integration, and mobile marketing, retail customer experience technology teams. This position is for a technology leader in Affiliate Marketing Technology group for attribution team. This team owns business critical systems that are responsible for attributing traffic to marketing channels and thrives on innovation to provide rich analytics to its internal and external customers. As a leader on the team, you will be responsible for tier1 critical systems, guide your team through the design, development, testing, and deployment of a range of products involving big data processing and dealing with near real time SLAs. You will have to deal with challenges of high availability (five 9s) guarantee, low latency and high throughput. In addition, you will build and manage roadmaps for software teams, developing cutting edge experiences. You will have sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You are a true owner - you are deeply interested in product design, architecture, and you innovate relentlessly on behalf of our customers. This position offers the opportunity to collaborate with our business teams across the world and other tech teams in Bangalore as we raise the bar in delivering innovation. Primary responsibilities: Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics Work with business leaders and product managers to define product requirements. Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner Build and maintain world-class customer experience and operational excellence for your deliverables Hire, manage, mentor and grow a high performance team of Software Engineers Basic Qualifications: Bachelors/Masters degree in Computer Science or related field 10+ years professional experience in software development management Proficiency in, at least, one modern programming language such as Java, Scala, C#, C++ etc Ability to solve complex technical problems and design robust, scalable solutions Ability to think critically and actively contribute to strategic choices. 3+ years experience in managing development teams working on multiple simultaneous projects. 3+ years experience in managing large scale software development teams following Agile development processes. Strong skills in project planning & execution, problem solving. Ability to take a project from initial scoping requirements through actual launch and support of the project Proven leadership and teamwork skills Excellent verbal and written communication skills in both technical and non-technical discussions. Preferred Qualifications: Deep, hands-on technical expertise in high scale, service-oriented architectures Exposure to Elastic Map Reduce and Machine Learning programs. Ability to handle multiple competing priorities in a fast-paced environment Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations Clear, professional communication skills able to contribute to team discussions, knowing when to contribute, when to listen, and when to ask questions Proactively and continually improve their level of knowledge about Amazon’s business and relevant technologies, and use this knowledge to deliver high quality, accurate software deliverables Strong business and technical vision Good understanding of web services
Main responsibilities: + Management of a growing technical team + Continued technical Architecture design based on product roadmap + Annual performance reviews + Work with DevOps to design and implement the product infrastructure Strategic: + Testing strategy + Security policy + Performance and performance testing policy + Logging policy Experience: + 9-15 years of experience including that of managing teams of developers + Technical & architectural expertise, and have evolved a growing code base, technology stack and architecture over many years + Have delivered distributed cloud applications + Understand the value of high quality code and can effectively manage technical debt + Stakeholder management + Work experience in consumer focused early stage (Series A, B) startups is a big plus Other innate skills: + Great motivator of people and able to lead by example + Understand how to get the most out of people + Delivery of products to tight deadlines but with a focus on high quality code + Up to date knowledge of technical applications
At Entropik Technologies, we build systems that measure and analyzes human emotions at an unprecedented scale, with accuracy, speed, and mission-critical availability. We work with some of the leading brands and agencies across the globe who utilizes our platform to improve overall customer experience, understand consumer behavior and their subconscious responses. The Data Science team at Entropik is a high profile team that is a center of innovation for the company and a major contributor to the company's core products. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table. Responsibilities: Work on challenging fundamental data science problems in affective computing Propose and develop solutions independently and work with other data scientists Drive the collection of new data and the refinement of existing data sources Continuous focus on enhancing the current models with an overall goal of improving the accuracy of different emotion touch points Prepare white papers, scientific publications and conference presentations Work closely with product and engineering teams to identify and answer important product questions Communicate findings to product managers and engineer Analyze and interpret the results Develop best practices for instrumentation and experimentation and communicate those to product engineering teams Requirements: Masters or Ph.D. in a relevant technical (deep learning, machine learning, computer science, physics, mathematics, statistics, or related field), or 4+ years' experience in a relevant role Extensive experience solving analytical problems using quantitative approaches using machine learning methods Should be experienced in Computer Vision and Visual Feature Extraction. Experienced with Deep Learning Libraries like Tensorflow, Pytorch and architectures like CNN, RCNN. Track record of using advanced statistical methods, information retrieval, data mining techniques Comfort manipulating and analyzing complex, high-volume, high-dimensional data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Fluency with at least one scripting language such as Python Experience with at least some of the following machine learning libraries: scikit-learn, H2O, SparkML, etc Experience with practical data science: source control workflows, deploying machine learning models in production, real-time machine learning.