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
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
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.
About the team● The machine learning team is a self-contained team of 9 people responsible for building models and services that support key workflows for IDfy.● Our models are gating criteria for these workflows and as such are expected to perform accurately and quickly. We use a mix of conventional and hand-crafted deep learning models.● The team comes from diverse backgrounds and experiences. We have ex-bankers, startup founders, IIT-ians, and more.● We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.● Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.● Work on performance tuning of models● From time to time work on support and debugging of these production systems● Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.● Building workflows for training and production systems● Contribute to documentationAbout you● You are an early-career machine learning engineer (or data scientist). Our ideal candidate issomeone with 1-3 years of experience in data science.Must Haves● You have a good understanding of Python and Scikit-learn, Tensorflow, or Pytorch. Our systems are built with these tools/language and we expect a strong base in these.● You are proficient at exploratory analysis and know which model to use in most scenarios● You should have worked on framing and solving problems with the application of machine learning or deep learning models.● You have some experience in building and delivering complete or part AI solutions● You appreciate that the role of the Machine Learning engineer is not only modeling, but also building product solutions and you strive towards this.● Enthusiasm and drive to learn and assimilate the state of art research. A lot of what we are building will require innovative approaches using newly researched models and applications.Good to Have● Knowledge of and experience in computer vision. While a large part of our work revolves around computervision, we believe this is something you can learn on the job.● We build our own services, hence we would want you to have some knowledge of writing APIs.● Our stack also includes languages like Ruby, Go, and Elixir. We would love it if you know any of these or take an interest in functional programming.● Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and Kubernetes for deploying our services.
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.
• 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). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
You are responsible for: * Developing algorithms to challenge the state-of-the-art in deep learning for NLP * Generating and implement new ideas for applied AI in travel * Creating AI solutions for automated dialogue (chat bots); natural texting for booking flights, hotels etc. * Build highly performant, real time, end to end, responsive request/recommendation engines powered by natural language processing and other machine learning techniques * Build and evolve/train NLP platform from natural language text data being gathered from users on daily basis * Code using primarily Python, No-SQL, and Google Cloud (AppEngine) stack. Speed, Speed, Speed - must be a performance freak! Requirements * B.E. from IIT or NIT or Tier-1 Institutes ONLY or MS from reputed institutions or Ph.D. in Computer Science, Natural Language Processing, Computational Linguistics or closely related field * 2+ years of Natural Language Processing experience * Ability to productize research efforts into end to end running application. * Ability to work with other platform engineers; learn, build, deploy, run, debug code. * Expertise in Applied Machine Learning, Neural Networks & Deep Learning for NLP tasks * Software programming in Java or Python and knowledge of SQL and NoSQL databases * Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus. * Fundamentally very strong in software engineering principles * Track record of scientific publications and presentation at scientific conferences is a PLUS You can look forward to a lot of impacts and a lot of freedom. With that comes the responsibility to ship quality code, so we’re looking for people that take quality as a point of pride. You will be a key member of the Platform & AI research staff working on our innovative conversational commerce product. The ultimate goal of our AI team is to build a powerful and scalable AI platform that learns from users and in-house experts on a daily basis, knows more than what it’s taught and keeps learning and getting better every day.
We are at Mezi building an AI-enabled chat-bot to bring online travel booking experience better. We are acquired by American Express in the month of January. As we are changing many major changes in our platform to scale and match Amex user's volume (in millions), our platform is going through some bigger changes. We are looking for IITian or NITian or exceptionally talented engineers with great experience of building high volume platform preferably in Python. Someone, who understand what is performance, what is scale and what is "platform"? You must have an end to end product development experience preferably in startup(s) OR at least product development companies. If you are working in services industry or banking or insurance domain, they Mezi may not be the right place for seeking any opportunity. You should have minimum 2years of experience or maximum 7 years. Compensation is not an issue with us for the right talent. You should be a coder and willing to code every day. You should be a great problem solver with a keen interest in writing optimistic algorithms. Please send your resume to firstname.lastname@example.org in case you are interested. Job location is Pune and ZERO travel to abroad, although our headquarter is in Sunnyvale, California. Thanks