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.
Responsibilities: Build real-time and batch analytics platform for analytics & machine-learning. Design, propose and develop solutions keeping the growing scale & business requirements in mind. As an integral part of the Data Engineering team, be involved in the entire development lifecycle from conceptualisation to architecture to coding to unit testing. Help us design the Data Model for our data warehouse and other data engineering solutions. Requirements: Deep understanding of real-time as well as batch processing big data solutions (Spark, Storm, Kafka, KSql, Flink, MapReduce, Yarn, Hive, HDFS, Pig etc). Extensive experience developing applications that work with NoSQL stores (e.g.,Elastic Search, HBase, Cassandra, MongoDB). Understands Data very well and has fair Data Modelling experience. Proven programming experience in Java or Scala. Experience in gathering and processing raw data at scale including writing scripts, web scraping, calling APIs, writing SQL queries, etc. Experience in cloud based data stores like Redshift and Big Query is an advantage. Previous experience in a high-growth tech startup would be an advantage.