Couture AI Platform provides Pluggable Building Blocks to the entire AI stack, which is used to build and produce varied enterprise ML and deep learning use cases. It has enabled some of the largest global organizations to implement specific vertical targeted products build on top of its proprietary AI platform. Experience: Building large scale AI models and/or systems. Expertise with Data, Machine Learning, and Deep Learning (CNN, RNN, LSTM, RBM, Seq-to-Seq Autoencoders Decoders, etc.). Strong data structures and algorithms capabilities. Looking for data science researchers. Strong working knowledge of deep learning, machine learning, and statistics. - Domain understanding of Personalization, Search, and Visual. Strong math skills with statistical modeling and machine learning. Experience in using Python, statistical/machine learning libs. Hands-on experience building models with deep learning frameworks (TensorFlow & TF tooling: TFX, TF Serving, Tensor Board, etc.). Ability to think creatively and solve problems. Preferred: Publications in highly accredited journals (If available, please share links to your published work.).Or, history of scaling ML/Deep learning algorithms at a massively large scale.
The role involves computer vision tasks including development, customisation and training of 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.RequirementsIdeal candidates must have a working knowledge of:1) Python, Tensorflow/PyTorch (or similar Deep Learning frameworks), CNNs (for image classification, object detection etc)2) Image Processing techniques using OpenCV or other white-box image feature extraction algos
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
Ideal candidates should have: High energy Thrive in challenging environments Excellent team player Quick learner Ability to get things done Good communication skills If you are the above person, check if you know some of the below: Excellent Programming skills using Python Excellent understanding of Transfer Learning architectures like Bert, Roberta Experience in building Products using Deep learning models using Keras, TensorFlow, Pytorch 1-3 years of experience What to expect from us? Directly work with the founders as part of a small, high energy team Build, Ship on a daily basis Opportunity to develop the next gen AI/ML information extraction product Directly work with customers Opportunity to create high impact to the company and the product Market Salary + Excellent ESOP
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
Introduction: This is an entrepreneurial software engineering head position that works to develop innovative technology solutions that transforms businesses by automating processes and providing insights & analytics. This position requires fanatic iterative improvement ability - ability to architect a solution, code, research, code more, research more and code some more, rebuild and re-architect, you get the drift. We are seeking hard-core-geeks-turned-successful-managers who are hands-on coders interested in building things that matter to businesses. Are you a crazy genius? Quick self-discovery test: When was the last time you thought about rebuilding your smart phone charger using solar panels on your backpack OR changed the sequencing of switches in your bedroom (on your own, of course) to make it more meaningful OR pointed out an engineering flaw in the sequencing of traffic signal lights to a fellow passenger, while he gave you a blank look? If the last time this happened was more than 6 months ago, you are a dinosaur for our needs. If it was less than 6 months ago, did you act on it? If yes, then continue to with self-discovery test below: Accomplishment Set : How do you treat yourself & others? You listen more than you speak. When you do speak, people feel the need to listen. You have ‘one’ life - no work life or personal life. You are the same at both places. You are generally happy and passionate about life. When shit does happen you know how to tell your heart ‘All is well’. You are compassionate to yourself, you love your work, your company, your country, and are generally a person people like to be around. [Basically, you are not a CAVE individual (Constantly Against Virtually Everything)]. How do you work & live (which is one and the same thing as per above)? You make difficult & complex decisions in an environment filled with lack of well-defined constraints and uncertainty. You are able to admit to your team that you were shit scared while making those decisions and stayed awake till 2 and woke up at 6 when you made that decision. You are able to juggle conflicting priorities and remain composed as the client keeps on changing requirements. :) You are genuinely passionate about developing great software, learning a lot, helping others learn and having loads of fun while doing so. What do you love? You love things. You are passionate. You care for yourself, family, country, and Big Bang Theory (and this is a must!). You love to organize, index, and improve things around you - Yes you are Sheldon’ish’ at times and ‘Leonard’ish’ the other times. You are passionate about improving processes and you truly feel satisfied by making things better. You love Google. And Python. And Angular.js You live, eat, breathe on cloud, SaaS, APIs, automation, futurism. You love building products that can solve real-life business problems beyond the love for pure engineering. What might you do at Searce? You will figure out what needs to be done based on the below. After all you are supposed to be a crazy genius. Lead and manage a high-performance core-engineering group of developers and architects. You'll be responsible for leading, managing, hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Define and evolve the next generation of cloud components, tools & APIs. Collaborate with architects, product management and other engineering teams to create solutions that increase the platform's value. Own product delivery - This includes setting up and managing weekly sprints to deliver the product that meets intended business functionality and goals. Participate with senior management in developing a long-term technology road map Have high technical competence, strong technical background with track record of individual technical accomplishments – Ability to play the role of the architect for the team. Mentor your team! Our world-class software engineers are just getting started -- and as a manager, you guide the way and set-up examples by coming-up with the best solutions to complex engineering problems. Roll up the sleeves and code alongside the team. Be a primary interface for the engineering team to the business users and clients. Education, Experience, etc. Is Education overrated? Yes. We believe so. However, there is no way to locate you otherwise. So unfortunately we might look for a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. :) To re-iterate: Passion to develop a fantastic product, highly analytical aptitude, and a strong ‘desire to deliver’ outlives those fancy degrees! 8-15 years of experience in scoping, architecting, development, product/project management, and delivery. Preferred tech stack Must have: Python/Angular5 or above, NoSQL, SaaS & Public Cloud experience Backend Languages/Frameworks: Python, Django, Flask, Microservices Front end: HTML5, CSS3, Backbone.js, Angular5 or above, JQuery, Bootstrap Databases: MongoDB, Google CloudSQL, BigQuery, Graph/NoSQL, Datastore, MySQL, MSSQL, Postgres PaaS, IaaS: AWS, Google App Engine, Google Cloud Platform Preferably in customer-facing web/mobile applications Experience in recruitment, training & selection of tech professionals, and participating in campus recruitments.
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
Selected candidates day-to-day responsibilities include: Working on computer vision/image processing applications like object classification, segmentation, etc. Working on deep learning algorithms for machine vision based inspection usecases Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data Having full stack development experience will be plus
Must have Skills: Extract and present valuable information from data Understand business requirements and generate insights Build mathematical models, validate and work with them Explain complex topics tailored to the audience Validate and follow up on results Work with large and complex data sets Establish priorities with clear goals and responsibilities to achieve a high level of performance. Work in an agile and iterative manner on solving problems Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches. Good understanding of Digital & analytics Strong communication skills, orally and in writing Job Overview:As a Data Scientist you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results. The Data Scientist believes in a non-hierarchical culture of collaboration, transparency, safety, and trust. Working with a focus on value creation, growth and serving customers with full ownership and accountability. Delivering exceptional customer and business results Industry: Any (prefer – Manufacturing, Logistics); willingness to learn manufacturing systems (OT systems and data stores)Primary Responsibilities: Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development Combine, explore, and draw insights from data. Often large and complex data assets from different parts of the business. Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques Prototype and pilot new solutions and be a part of the aim of ‘productifying’ those valuable solutions that can have an impact at a global scale Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions Regards, Sudarshini
Important:Credit Score is mandatory.You are expected to build deep learning models to process unstructured data like images and scanned financial documents and convert it into meaningful tables with optical character recognition technologies.You are also expected to build Machine Learning and Deep learning models for facial recognition and object comparison.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in thefield.JD To build deep learning models in Tensorflow and Keras To build Machine learning and Text Analysis projects Extensive knowledge of python, data structures, and algorithms Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc Data Analysis analysis and presenting results in a clear manner Building Deep learning models over unstructured sources such as images, speech and text data. Skills and Qualifications B.E/B.TECH/MCA in COMPUTER SCIENCE ENGINEERING ONLY or Any Degree specializing in Computer Science or Information Technology or Information Science. Excellent Knowledge of computer science engineering basics. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc Understanding of Natural Language processing techniques and algorithms such as dimensionality reduction, NLTK, CoreNLP, Spacy Understanding of Deep learning concepts and techniques such as YoLo, Object Detection, Image Classification. Experience with common data science toolkits, such as scikit-learn, spacy, Keras. Excellence in at least one of these is highly desirable Great communication skills in English both written and verbal. Proficiency in using query languages such as SQL. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good programming skills in Python or Java. Well versed with data structures and algorithms. Deep learning & Machine learning