About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.
FreightCrate Technologies: FreightCrate Technologies is a Logistics Technology company that- aims to transform international shipping through innovative and cost-effective tech solutions that can mutually benefit exporters, importers and logistics service providers.Our web-platform, FreightCrate offers online tech-enabled quote and shipment management solutions for export and import businesses to and from more than 50,000 global locations.We have had more than 50 media coverages including Entrepreneur, LoadStar UK, Maritime Gateway, Cargotalk, BW Disrupt, INC42, Silicon India, Tech Observer and several other newspapers and online magazines. Our vision is to utilize cutting edge technology, engineering, deep learning and artificial intelligence to create an intelligent freight management system that can automate and optimize international trade operations for global businesses. FOUNDERS:Samir Lambay is the Co-Founder and CEO with an MSc in Shipping, Trade and Finance from Cass Business School, London, UK with Distinction.Samir has worked in the shipping and logistics industry across both family businesses and multinational companies. His most recent job was at- DB Schenker Logistics- (Part of Deutsche Bahn Group - Fortune 200) where he was the youngest Vertical Manager globally and won two awards including Vertical Manager of the year and a Global Award.Ruchi Dogra is a Co-Founder & Director and is in charge of sales and marketing. She has worked for over 15 years across the top 3 logistics/supply chain companies globally. She set-up the hotel, wines and beverages vertical at- Kuehne & Nagel- and- DB Schenker. Her latest assignment was at- DHL Global Forwarding- where she worked as a Vertical Manager for Engineering and Manufacturing; handling top Indian and multinational accounts including several Fortune 100 companies. She brings with her an extensive knowledge in strategy, sales, operations and customer service.Title:CTO DescriptionThe CTO role is to ensure the successful execution of the company’s business services via the web application. This requires envisioning the company’s service offerings as a web-based business, leading implementation of web applications, and planning for risk and growth.. Compensation:As this is a new business the compensation is negotiable and we will make an offer depending on the experience of the candidate which will include a salary and ESOP package.Responsibilities:In partnership with the company’s founders, identify opportunities and risks for delivering the company’s services as a web-based business, including identification of competitive services, opportunities for innovation, and assessment of marketplace obstacles and technical hurdles to the business success. As our Product is already developed we expect the CTO to work with product development to implement new product features, apply new technologies and set up the engineering and development team to maintain, update and improve the web-application. Some specific responsibilities are listed below:Strategy, planning, and design:• Take end-to-end ownership of the product, identify technology requirements, define the future product vision, create preliminary design concepts for add-on modules and shape overall technology and product roadmap by collaborating with the founders, business development, and marketing team.• Ensure user oriented design is the primary approach to product development across multiple screens, based on user behaviour data and direct customer feedback.Implementation and deployment:• Manage Product Release, QA cycles, feature implementation and on time delivery through in-house team and vendors.• Collaborate with team and customers to define use cases.• Creation of wireframes/prototypes, site maps and user-flows for web and mobile platforms. Operational management :• Support marketing by implementing technical requirements for SEO/product analytics.• Establish and supervise a quality assurance process, including integration & system testing.• Rigorously monitor key performance metrics and coordinate with various teams to take corrective actions if needed.• Establish and forecast ROI of features and succinctly articulate competitive advantage.• Set-up data collection and analysis system in collaboration with CEO to track key performance.metrics.Skill Sets:• PHP/Python• AWS & Cloud-computing• Mysql/MongoDB/CouchDB• Memcache/Redis• Frontend technologies HTML, CSS, JS, Angular, ReactJS• Frameworks like CodeIgnitor/CakePHP/Symphony, Flask/Django• DevOps• ELK• Tools like Datadog, NewRelic, etc• Shell-scripting• Setting & managing dev/beta/prod environments• tools like Jenkins, Chef, Puppet, Ansible, etc.• Experience with MEAN stack will be an advantage• Knowledge of Solr/Elastic search will be an advantageStrong fundamentals in computer science/engineering and algorithm design. Practical knowledge of computer software algorithms in machine/deep learning, NLP, Computer Vision etc.Personal Requirements:• Min of 7+ years of Hands on experience in Web app development, payment gateways implementation, architecture design, product management, databases and UI/UX in consumer facing applications. • Experience on projects involving engineering and algorithmic functions, machine learning, deep learning and artificial intelligence is very advantageous.• Creative self-starter who is comfortable with both taking initiative and working in teams.• Previous experience working on logistics technology products is advantageous but not mandatory.• Strong communication skills.• Willingness to learn and utilize emerging technologies.• Sincere passion to use disruptive technologies that can be globally significant.
At least 100 million women in India are aging prematurely. What does that mean? Caught up in the frenzy of life, they have been making unhelpful lifestyle choices because of which they are at high risk of having diabetes, obesity, hormonal diseases, PCOD, infertility, and even cancer. Our vision is to become a trusted health buddy for every such woman. To begin with, we have developed the MVP of an AI-enabled Behaviour Change Engine - Jollywell - to help them reverse aging and minimize their health risk. We are looking for a Tech co-founder who can help transform our vision into reality by leading the future development and delivery of Jollywell, and innovating with technology to make Jollywell scalable and exciting.
We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.
Job Title: Machine Learning Engineer 1) Minimum 1 year exp in Data Science/Natural Language Processing and Machine Learning 2) Good grasp of one of the following but not limited to languages: Java, C++, 3) Good grasp of Python, 4) Familiar with various ML libraries such as the following but not limited to: Scipy, Numpy, Tensorflow 5) Has worked previously in NLP and/or ML/Deep Learning Projects.