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.
As our ideal team member, you: - Love to learn. And you pick up new concepts super-fast - Have a strong grasp of CS fundamentals - Dream ML AWESOME THINGS ABOUT THIS POSITION: - As an engineer on a small team you get to wear many hats. - As a core member of a tiny company, you get to brainstorm with the core team, the customers and our investors Our mission is to accelerate solar rooftop in the world and it feels great to give power to millions! Our software empowers solar companies to generate accurate solar feasibility reports and perform site surveys remotely thus giving them more time and more accurate information to target new clients for rooftop solar installations. This increases a solar company's business by 2-3X!
• Identifying and modeling the key drivers of consumer behavior using internal and external data. • Developing prediction models to deliver key business outcomes. • Problems include working on demand forecasting, demand driven supply planning etc. • Developing optimized transportation network design for Shuttl operations to drive strategic growth • Developing algorithms to predict static and dynamic schedule of Shuttl arrival times. • Presenting clear and actionable recommendations to Products and Engineering leadership. • Relentless pursuit of achieving business goals using the power of data
Precily is Artificial Intelligence platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Head of Engineering is a leadership role reporting to the CTO of Precily. We're looking for candidates with good team management skills with expertise in AI & Machine Learning.
Experience/qualifications requirements : - 0 to 3 years of experience. - MS/Phd/Btech in Computer Science or Applied Mathematics with focus on Artificial Intelligence, Machine Learning, Chat Application . - Have published some research papers in Artificial Intelligence domain or contributed to some research which got implemented commercially. - Proficiency in any one language Python/ .Net/ C++. - Strong data structures and algorithmic skills. - Self-motivated and passionate about Artificial General Intelligence. Note-We are looking for full time candidate
We're looking for a passionate technology leader to join our fast-growing social media start-up. You should be experienced in managing and scaling an engineering team, have familiarity with integrating 3rd party Api’s, and be familiar with big data analytics. While much of your job will be architecturally focused, you must be comfortable getting your hands dirty and pushing out product releases when necessary. Responsibilities will include but are not limited to: - Defining the software technology strategy, architecture and roadmap - Develop the backend software (hands on) - Leading , Onboarding & Managing Our development team - Vetting and continuing to build our development team - Evangelizing the product and its technology - Innovation & Optimisation R&D Current Stack: - Frontend: Native Java - Backend: MongoDB & Python We have to build iOS and Android apps, so a proficiency in of all of these would be extremely beneficial. We've created a high demand for the fully-integrated software we are building. If you believe you are the one to help us deliver and grow our product, please apply.
We are building a Startup Intelligence platform to help Startups and investors with Market research, Competitive analysis, sales leads etc.
Transporter is an AI-enabled location stack that helps companies improve their commerce, engagement or operations through their mobile apps for the next generation of online commerce
JSM is a data sciences company, founded in 2009 with the purpose of helping clients make data driven decisions. JSM specifically focuses on unstructured data. It is estimated that 90% of all data generated is unstructured and still mostly under-utilized for actionable insights largely due to high costs involved in speedily mining these large volumes of data. JSM is committed to creating cost effective innovative solutions in pursuit of highly actionable, easy to consume insights with a clearly defined ROI