It is my pleasure to introduce you to IDEAS2IT Technologies, Chennai. If you are looking for a challenging position as a BigData engineer solving complex business problems by applying the latest in Data Science, Machine Learning and AI read on. Ideas2IT is a high-end product engineering firm that rolls out its own products and also helps Silicon Valley firms with their product engineering. We are looking for above average programmers to be part of our Data Science Lab. You will be working on projects like An AI platform built using Google TensorFlow for a predictive hiring product. Betting odds platform that to match odds offered to leverage spreads PPO platform for predictive pricing and promotions for enterprise eCommerce. Part of your tool set will be Google TensorFlow, Python ML frameworks, Apache Spark, R, Google BigQuery, Scala / Octave, Kafka and so on. If you have any relevant experience great! If not, it doesn't matter. We believe in hiring people with high IQ and the right attitude over ready-made skills. As long as you are passionate about building world class enterprise products and understand whatever technology that you are working on in-depth, we will bring you up to speed on all the technologies we use. Oh BTW, did we mention that you need to be super smart? Sounds interesting? Ideas2IT is a high-end product firm. Started by an ex-Googler, Murali Vivekanandan, we count Siemens, Motorola, eBay, Microsoft and Zynga among our clients. We solve some very interesting problems in the USA startup ecosystem and have created great products in the process. When we build, we build great! We actively contribute to open source projects. We've built our own frameworks. We're betting the house on Big Data, and with a Stanford grad leading the team, we're sure to win. We have rolled 2 of our products as separate companies last year and raised institutional funds - Pipecandy, Idearx.
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.