Adept at Machine learning techniques and algorithms. Feature selection, dimensionality reduction, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Doing ad-hoc analysis and presenting results Proficiency in using query languages such as N1QL, SQL Experience with data visualization tools, such as D3.js, GGplot, Plotly, PyPlot, etc. Creating automated anomaly detection systems and constant tracking of its performance Strong in Python is a must. Strong in Data Analysis and mining is a must Deep Learning, Neural Network, CNN, Image Processing (Must) Building analytic systems - data collection, cleansing and integration Experience with NoSQL databases, such as Couchbase, MongoDB, Cassandra, HBase
Who are we and What do we do? Hypersonix.ai is disrupting the Business Intelligence and Analytics space with AI, ML and NLP capabilities to drive specific business insights with a conversational user experience. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in Restaurants, Hospitality and other industry verticals. How the team looks like? Coming out of the silos and working with complete visibility of the end-to-end product focusing on commerce. Flexibility to work on any areas of your choice Machine learning/Business Analytics/Development in Tech terms - Building and managing robust Insight based Platform, Efficient Data pipelines/ streaming systems, integrated user interfaces. Be part of the small and high impacting team Opportunity to take bigger roles/responsibilities at early stage Be part of re-designing the whole Business Intelligence products to make it more optimized and powerful and solve the business problems for commerce Good opportunities to use your Data Science, Machine/Deep learning skills on solving practical problems What will you be doing? Responsible for design, architecture, and delivery of a feature or component/product with the highest quality. Driving innovations in the platform constantly & remaining ahead of the curve Collaborates effectively with cross functional teams to deliver end-to-end products & features Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team. Analyze and extract relevant information from large amounts of data to help automate and optimize key processes. Design, development, evaluate and deploy innovative and highly scalable models for predictive learning. Research and implement novel machine learning and statistical approaches. Work closely with software engineering teams to drive real-time model implementations and new feature creations. Work closely with business owners and operations staff to optimize various business operations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Mentors/coaches engineers to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team. What do we expect from you? A BS/MS/PhD in Computer Science or Machine learning or Operational research or Statistics or in a highly quantitative field 8+ years of hands-on experience in applied Machine Learning, Big data and products An ideal candidate should have Strong grasp of depth and breadth of knowledge in machine learning, data mining and data analytics concept as well as executions Strong Problem-solving ability Strong knowledge of scientific programming in scripting languages like Python Experience in designing and implementing information retrieval, web mining and neural network and other classification algorithms. Big thinker that can take broad visions and concepts and develop structured plans, actions and measurable metrics and then execute those plans. Expertise in using Python as well as with Spark ML, scikit-learn, Tensorflow or similar machine/Deep learning open-source software libraries Superior organization, communication, interpersonal and leadership skills Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace Must be a self-starter who can work well with minimal guidance and in fluid environment Must be excited by challenges surrounding the development of massively scalable & distributed system Agility and ability to adapt quickly to changing requirements and scope and priorities Nice to have skills Experience of online Commerce (Retail/CPG/Restaurants/Hospitality) domain Experience of building products that are powered by data & insights Experience in Machine learning deployment and hands on knowledge of Kubeflow/ML-flow Experience of working on massively large-scale data Experience in data structures & algorithms skills
Who are we and What do we do?Hypersonix Inc. is an Intel funded, fast-growing AI startup founded by established business leaders and fortified by the support of notable clients and investors. hX is leveraging AI advancements in NLP, Machine learning, Intelligence Automation to enable real-time decisioning for marketing & sales. We are on a mission to disrupt a trillion$ global commerce market How the team looks like?• Coming out of the silos and working with complete visibility of the end-to-end product focusing on commerce. • Flexibility to work on any areas of your choice Machine learning/Business Analytics/Development in Tech terms - Building and managing robust Insight based Platform, Efficient Data pipelines/ streaming systems, integrated user interfaces.• Be part of the small and high impacting team• Opportunity to take bigger roles/responsibilities at early stage• Be part of re-designing the whole Business Intelligence products to make it more optimized and powerful and solve the business problems for commerce• Good opportunities to use your Data Science, Machine/Deep learning skills on solving practical problemsWhat will you be doing?• Responsible for design, architecture, and delivery of a feature or component/product with the highest quality.• Driving innovations in the platform constantly & remaining ahead of the curve• Collaborates effectively with cross functional teams to deliver end-to-end products & features• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements• Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team.• Analyze and extract relevant information from large amounts of data to help automate and optimize key processes• Design, development, evaluate and deploy innovative and highly scalable models for predictive learning• Research and implement novel machine learning and statistical approaches• Work closely with software engineering teams to drive real-time model implementations and new feature creations• Work closely with business owners and operations staff to optimize various business operations• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation• Mentors/coaches engineers to facilitate their development and provide technical leadership to them• Rises above detail to see broader issues and implications for whole product/team.What do we expect from you?• A BS/MS/PhD in Computer Science or Machine learning or Operational research or Statistics or in a highly quantitative field
Responsibilities: Complete accountability for delivering 1-2 projects from conception to implementation Managing the team of Associates and Senior Associates Interviewing client intelligently to learn important figures and gather requirements Managing project timing, client expectations and meeting deadlines Creating smart & impactful PowerPoint presentations Playing proactive role in business development (preparing sales collaterals, pitch documents etc.) and organization building (training, recruitment etc.) Presentation of final results to the client and discuss further opportunities within/outside the project along with maintaining documentation and reports Plan deliverables and milestones for the project that you are responsible for Provide business analysis and business area assessment Facilitate meetings within the team on regular basis Track and report team hours Behavioural Competences: This candidate must have the ability to think strategically and analytically in order to effectively assess each assignment Excellent written and oral communication skills Ability to work in tight deadlines & under pressure Excellent interpersonal & organizational skills Good listening and comprehension and management skills Willingness to travel/work abroad
Strong in problem solving, algorithms and data structures Proficient in Python Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI Experience with knowledge Graph or any graph based system is plus Able to train and deploy models Broad knowledge of machine learning algorithms and principles Performance profiling and Tuning Communicate and propose solutions to business challenges Familiarity with at least one of the cloud computing infrastructure - GCP/AWS Keep abreast with the latest technological advances Team mentoring and leadership skills.
Implementation and testing of advanced computer vision algorithms.Dataset search, preparation, annotation, training, testing, fine tuning of vision CNN models.Detailed analysis of results.
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
The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes. Requirements: 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks). CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc). Image Processing techniques using OpenCV or other white-box image feature extraction algorithms. End to end deployment of deep learning models.
FaceX currently handles millions of Facial Recongition Requests a month via its API and SDK services.We are looking for talented Image Vision Engineers who can help develop further products for FaceX
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
Job Description: Decision Science Openings at Couture AIAbout CompanyCouture AI Platform provides Pluggable Building Blocks to entireAI stack, which are used to build and productionize variedenterprise ML and deep learning use cases. It has enabled someof largest global organizations implement specific verticaltargeted products build on top of its proprietary AI platform.Nature of Business Artificial Intelligence PlatformCompany Website www.couture.aiJob Designation Product Manager - Decision ScienceJob Location BengaluruJob Description &Skills RequiredBasic Qualifications:• Bachelors (+Masters preferred) in ComputerScience/Mathematics/Research (Machine Learning, DeepLearning, Statistics, Data Mining, Game Theory or coremathematical areas) from Tier-1 institutes (IITs, IISc, BITS, IIITs,top-ranked global Universities) with good individual academicscore.Looking for decision science managers.• Strong working knowledge of deep learning, machinelearning, and statistics.- Domain understanding of Personalization, Search, Visualand Videos.• Expertise in using Python, statistical/machine learning libs.• 5+ years of hands-on experience defining large scale AIsolutions and its deployment for millions of customers.• Expertise with understanding the raw data, datatransformation and feature selection.• Expertise with understanding of metric-driven impact-analysisof the AI solutions.• Ability to think creatively and solve problems.Key Responsibilities:• Take ownership of end-to-end engagement from defining todelivering the business requirements, working with variousstakeholders within Couture AI and customers.• Create feedback loops to generate the product roadmaps.• Formulate the appropriate predictive, analytic, ML or Deeplearning solutions leveraging Couture AI Platform.• Carry out a cost benefit comparison of various solutions, notonly driven by analytical rigor of the solutions, but also thepragmatic aspects of deployment, data and adoption cost.• Work with platform and tech teams to implement thesolutions.• Drive adoption of the Couture AI Platform solutions viademonstrating improvement in success metrics and interfacingwith business partners from other teams.• Building business cases and models to quantify newopportunities, using data and solid business judgment.
Looking for senior data science researchers.Basic Qualifications:∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes.∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc).∙Strong working knowledge of deep learning, machine learning, and statistics.- Deep domain understanding of Personalization, Search and Visual.∙Strong math skills with statistical modeling / machine learning.∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow.∙Experience in using Python, statistical/machine learning libs.∙Ability to think creatively and solve problems.∙Data presentation skills.Preferred: ∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities.∙Or, Publications in highly accredited journals (If available, please share links to your published work.).∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
** Responsibilities:** Translating the state of the art research results into real-world production systems. Lead your project, from feasibility assessment and research through to model development and productionization. Coaching team members and provide training paths, encourage and implement best practices across the team. Have prior experience of leading a computer vision project from scratch designing, planning, data collection and annotation, training, deployment and iteration phases. Required Skill Set : Proficiency in Python/C++, Open CV and deep learning frameworks like Pytorch Experience in scaling the AI capabilities in a high volume, high scalability environment Hands-on experience in CI/CD workflow, version controls and code reviews. Well versed in taking a computer vision project through the planning, data collection + annotation, training, deployment and iteration phases Bachelors, Masters or PhD in computer science, Machine learning or equivalent from a tier 1 college is preferred. Expertise in one or more of the following: object detection, semantic segmentation, OCR and forgery detection Publications and patents in the computer vision field are preferred Desired Experience: 6+ years of professional experience on computer vision and / or deep learning Prior experience of leading an AI product development Experience in scaling the AI capabilities in a high volume, high scalability environment Building & scaling computer vision teams & computer vision infrastructure as well. Design & development of DL algorithm and experimentation to improve existing computer vision systems. Bonus point if prior experience from fintech domain or other product based companies.
JD : ML/NLP Tech Lead- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEdWHAT ARE WE BUILDING :- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured. - We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.Required Skill sets :- Wisdom to know when to hustle and when to be calm and dig deep. Strong can do mentality, who is joining us to build on a vision, not to do a job.- A deep hunger to learn, understand, and apply your knowledge to create technology.- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.- Good understanding of Algorithms and Data Structures.- Strong programming experience in C++/Java/Lisp/Haskell.- Good written and verbal communication.Desired Skill sets :- Passion for well-engineered product and you are - ticked off- when something engineered is off and you want to get your hands dirty and fix it.- 3+ yrs of research experience in Machine Learning, Deep Learning and NLP- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision/Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA, FOCS etc)- Open Source Contribution (include the link to your projects, GitHub etc.)- Knowledge of functional programming.- International level participation in ACM ICPC, IOI, TopCoder, etc - International level participation in Physics or Math Olympiad- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory, etc.What can you expect :- Opportunity to work on the interesting and hard research problem, to see the real application of state-of-the-art research into practice.- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.- Learn effective engineering habits required to build/deploy large production-ready ML applications.- Ability to do quick iterations and deployments.- We would be excited to see you publish papers (though certain restrictions do apply).Website : http://Digitalaristotle.aiWork Location: - Bangalore
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