We're looking for an expert who are active in machine learning/deep learning areas and are passionate about developing next generation machine learning technologies. The candidate must be able to: Must be “Hands On”. Design and develope machine learning algorithms Knowledge of 3D shape detection both in solid and point cloud models. Discover, design, and develop analytical methods to support novel approaches of data and information processing Generate and test working hypotheses Prepare and analyze historical data and identify patterns Provide technical support for program management and business development activities including proposal writing and customer development You must have at least 5 years demonstrated experience in the field. Master or higher Degree Key Skills: You should be an expert in remote sensing with proved experience in convolutional neural networks. Experience with Oriented object detection highly appreciated. Geospatial and 3D deep knowledge Deep mathematical skills mostly on logics and geometry. You are an expert in Python, OpenCV, Tensorflow You have worked with Numpy, Pandas, etc
You are an expert in computer vision algorithms - segmentation, homography You are an expert in image processing algorithms - morphology, filtering, enhancement You are good in deep learning - classification, segmentation You possess good enough knowledge of Linear algebra You are aware of recent developments in deep learning You have developed Image classification and segmentation models using deep learning You are an expert in Python, OpenCV, Tensorflow You have worked with Numpy, Pandas, etc
Job Description for Data Scientist/ NLP EngineerResponsibilities for Data Scientist/ NLP EngineerWork with customers to identify opportunities for leveraging their data to drive businesssolutions.• Develop custom data models and algorithms to apply to data sets.• Basic data cleaning and annotation for any incoming raw data.• Use predictive modeling to increase and optimize customer experiences, revenuegeneration, ad targeting and other business outcomes.• Develop company A/B testing framework and test model quality.• Deployment of ML model in production.Qualifications for Junior Data Scientist/ NLP Engineer• BS, MS in Computer Science, Engineering, or related discipline.• 3+ Years of experience in Data Science/Machine Learning.• Experience with programming language Python.• Familiar with at least one database query language, such as SQL• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,Search Indexing & Fuzzy Matching.• Excellent written and verbal communication skills for coordinating acrossteams.• Willing to learn and master new technologies and techniques.• Knowledge and experience in statistical and data mining techniques:GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.• Experience with chatbots would be bonus but not required
Job DescriptionInside/Virtual Sales SpecialistPosition – Virtual Account ManagerWe are looking for a stellar Account Executive to join our team in Pune who would befocused on the South East Asian market.Responsibilities:Prospect within named enterprises in South East Asia to generate pipelineConsistently achieve license and recurring service revenue targetsBuild a trusted advisor relationship with your prospects and customersUse Simplifai’s prospecting and sales processes effectivelyEnsure two-way flow of relevant and timely informationAnticipate challenges before the prospect doesCollaborate effectively with partnership, sales development, solutions consulting teamsThe Candidate:3-7 years of quantifiable, install base and new logo acquisition sales in B2B software with a strongtrack record of success; experience with the full lifecycle of virtual sales from qualification, discoveryto closingStrong willingness and ability to uncover opportunities by communicating a highly differentiatedvalue proposition to open doors at new accounts or expand deals at existing accounts; excellentverbal and written communication skills with strong phone/video conference presenceExperience selling software platforms that belong to a nascent category in the Hype CycleExperience in account planning and opportunity management, and running a sales cycleExperience framing value and ROI to business stakeholdersAbility to maintain an accurate CRMStrong executive presence + interpersonal, written and presentation skillsAble to work independently and remotely from other members of your teamOutbound experience - Cold calls/emails/events etc. within prospect organizations.Ability to identify prospect trigger/ pain with the right questionsAbility to learn to speak your prospect’s business languageCross-cultural – you like working with many types of people across multiple geographies andlanguagesAbility to learn what would make your prospect successfulThe ability to teach your prospects using insights they didn’t know beforeThe ability to independently run a product demoThe discipline to meet your sales productivity requirementsExperience using prospecting tools - ZoomInfo, Lusha, Outreach, LinkedInWhat you will get to do:The opportunity to script your success and growth path in a fast-growth Series A startupBe one of the early Sales employees in the SEA region for Simplifai, with the added responsibility ofsetting the strategy and leading the execution for Simplifai’s expansion in the SEAWork with Sales and Product Marketing to develop new and leverage existing contentWork with some of the best talent from Norway and IndiaA deep knowledge of selling a SaaS B2B product in a category-defining companyExposure to C-suite professionals from some of the top SaaS companies in the industryThe ability to prospect, demo, and close in a high paced environmentFull-stack learning of Sales toolsAchieve success that is directly proportional to the responsibilities you hold.
• An experienced and hands-on Technical Architect to lead our Video analytics & Surveillance product• An ideal candidate would have worked in large scale video platforms (Youtube, Netflix, Hotstar, etc) or Surveillance softwares• As a Technical Architect, you are hands-on and also a top contributor to the product development• Leading teams under time-sensitive projectsSkills Required:• Expert level Python programming language skills is a MUST• Hands-on experience with Deep Learning & Machine learning projects is a MUST• Has to experience in design and development of products• Review code & mentor team in improving the quality and efficiency of the delivery• Ability to troubleshoot and address complex technical problems.• Has to be a quick learner & ability to adapt to increasing customer demands• Hands-on experience in design and deploying large scale docker and Kubernetes• Can lead a technically strong team in sharpening the product further• Strong design capability with microservices-based architecture and its pitfalls• Should have worked in large scale data processing systems• Good understanding of DevOps processes• Familiar with Identity management, Authorization & Authentication frameworks• Possesses very strong Software Design, enterprise networking systems, advanced problem-solving skills• Experience writing technical architecture documents
Lead Data Scientist Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. How we work? It’s all about being Happier first. And the rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : Collaborate with team members to develop new models to be used for classification problems Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks Use independent judgment to take existing data and build new models from it Collaborate and provide technical guidance Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences Improving existing models and creating self-learning systems. Stakeholder management and leadership Decision making and problem-solving Accomplishment Set : Extensive experience with Hadoop and Machine learning algorithms Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence) Passion for solving NLP problems Experience with specialized tools and project for working with natural language processing Programming experience in Python Knowledge of machine learning frameworks like Tensorflow, Pytorch Experience with software version control systems like Github Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : B. E. / B. Tech / Masters in Computer Science Strong in academics and good aptitude Excellent communication skills with a flair to learn quickly 4-8 years of relevant experience Research and implement novel machine learning and statistical approaches Prior exposure to product development would be an added advantage
Recruitment has been a weird problem. While companies complain they can't get good talent, there are hordes of talented professionals who are unable to easily find their next big opportunity.At CutShort, we are building an intelligent and tech-enabled platform that removes noise and connects these two sides seamlessly. More than 10000 companies have used our platform to hire 3x more people in 1/3rd the time and professionals get a great experience that just works. We are hiring for: 1. Fullstack2. Backend3. Frontend4. Machine LearningWant to know more about us? Please check: https://medium.com/cutshort/engineering-culture-at-cutshort-1f9a7e69567e
3+ years of experience in Machine Learning Bachelors/Masters in Computer Engineering/Science. Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts. 10 and 12th acedemics 70 % & above. Skills : - Strong Python/ programming skills - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing - Strong verbal and written communication skills. - Should be able to manage team, meet project deadlines and interface with clients. - Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions
Bachelor degree in Computer Science or related field 5+ years of industry experience as Engineering Manager or Automation Manager or Software Quality Manager. 10+ years of industry experience building or testing driver products 5+ years’ experience in core programming languages such as Python /C/ C++/ Java/ Selenium, should have a thorough understanding of popular test automation architectures and the best industry practices. Proficient in using one of the Machine Learning Frameworks like Keras with Tensorflow/Caffe. Knowledge of OpenCV for Image Processing. Hands on experience writing advanced object oriented code including creating automation frameworks and test scripts for large scale testing scenarios. Have hands-on QA engineer experience testing driver or cloud products Deep understanding of QA methodologies including triaging, debugging, automating and testing Experience deploying automated testing for performance, UI, features, stability and other product oriented needs Technical authority in at least two of these areas: driver, cloud, networking, virtualization Excellent verbal and written communication skills to different audiences including direct reports, peer managers/architects, multi-functional leaders and executives Require people and project management experience working with cross site teams. Knowledge of working in Agile Software development Environment in a Plus. Familiar with full product life cycle and agile development methodologies. Obsessed with quality improvement, constantly seeking execution efficiency improvement Able to work in an ambiguous and highly interdependent work environment to get things done in an efficient and considerate way Experience creating and bringing to qualitative metrics and measurements We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
SD (ML and AI) job description:Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )Extensive data modeling and data architecture skillsProgramming experience in Python, RBackground in machine learning frameworks such as TensorFlow or KerasKnowledge of Hadoop or another distributed computing systemsExperience working in an Agile environmentAdvanced math skills (Linear algebraDiscrete mathDifferential equations (ODEs and numerical)Theory of statistics 1Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)Abstract algebraNumber theoryReal analysisComplex analysisIntermediate analysis (point set topology)) ( important )Strong written and verbal communicationsHands on experience on NLP and NLGExperience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
Responsibilities: Model the problem into a DL framework Build, measure and iterate on neural network architectures that effectively solve the problem Benchmark, validate and test the solution for real-world environments Optimise the solution for accuracy and performance Requirements: Skill(s) required: Experience with Deep Learning Programming. Absolutely thorough and hands on with Supervised learning, Unsupervised learning, Reinforcement Learning, Classification & Regression, Knowledge Representation techniques, Ensemble Learning Have relevant skills and interests in ML/AI space Have prior knowledge and experience with Deep Learning for image/video related problems Good to have: hands-on experience with Tensorflow and Python Good to have: Has done Deep Learning courses, perhaps on MOOCs such as Coursera, Udacity, etc
Our current operations research product is deployed at some of the largest organizations in the world. This role will be responsible for re-architecting the existing solution and adding components of machine learning and intelligence to its logic. We are looking for a passionate individual who loves technology and is willing to design and create a flexible long-lasting product architecture.