Data Science Intern

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud™, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands. Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision-making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable. ### Responsibility * You will be working on new and challenging Engineering Problems to operationalize Data Science * Design and implement state-of-the-art Machine Learning approaches * Building core machine learning infrastructure, which includes distributed systems, abstractions, development tools, model hosting /serving/ inference pipelines * Building and Supporting Customer Data Science Projects on Aera * You will be working on all of these with senior members of the ML Engineering and Data Science teams. * You will receive appropriate training and guidance to do these tasks ### Nice to have * Required: Passionate about starting a career in Data Science * B.E./B.Tech in Computer Science/Computer Engineering or MCA/MCS (Pursuing or Completed). * Good knowledge of Data Structure and Algorithms and Object-Oriented Programming * Proficient in any one programming language (Python preferred) * Basic knowledge of SQL * Basic knowledge of Machine learning Libraries and frameworks (Tensorflow, Keras, etc). * Some experience in data analysis. * Basic knowledge on time series, data algorithms * Basic knowledge of API development, Docker, and basic cloud knowledge. * At least one project as a showcase should be hosted on GIT Heroku or any cloud platform. ### Good to have: * Good understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.) * Hands-on experience on AWS and other cloud platforms * Courses or MOOC (Udacity, Coursera, fast.ai, etc) on Data Science/ML Engg/ML Ops If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this! Aera Technology is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits, and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You’ll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you’re working from the office, you’ll also have access to a fully-stocked kitchen with a selection of snacks and beverages. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.