Job Description :
Job-Title: Machine Learning EngineerLocation: Woonsocket RIPosition SummaryYou will collaborate with business partners to identity opportunities to leverage big data technologiesin support of Pharmacy Personalization with a common set of tools and infrastructure to makeanalytics faster, more insightful, and more efficient. You will build and architect next-generation BigData machine learning framework developed on a group of core Hadoop technologies. You willdesign highly scalable and extensible Big Data platforms which enables collection, storage, modeling,and analysis of massive data sets from numerous channels. You will define and maintain dataarchitecture, focusing on applying technology to enable business solutions. You will assess andprovide recommendations on business relevance, with appropriate timing and deployment. You willperform architecture design, data modeling, and implement Client Big Data platforms and analyticapplications. You will bring a DevOps mindset to enable big data and batch/real-time analyticalsolutions that leverage emerging technologies. You will develop prototypes and proof of concepts forthe selected solutions, and implement complex big data projects. You will apply a creative mindset toa focus on collecting, parsing, managing, and automating data feedback loops in support of businessinnovationnbsp;Required Qualifications5-7 years of professional IT and Business Analytics experience including the following: ? Hands-on experience with “big data” platforms including Hadoop (preferably Hortonworks withIsilon commodity hardware) and Spark as well as experience with traditional RDBMS (eg,Teradata, Oracle? Proficiency in “big data” technologies including MapReduce, Spark, Airflow, Kafka, Hbase, Pig,NoSQL databases, etc Proficiency in the following programming languages: Python, shell scripting, SQL (preferablyTeradata and PL/SQL syntax) and Hive, Pig, Java, or Scala? Ability to design and build a framework to orchestrate data pipelines and ML models ? Familiarity with data modeling, data architecture and governance concepts? Proficiency with tools to automate workflow and data pipelines (eg, Jenkins, Control-M Should be able to aggregate huge amount of data and information from large numbers ofsources to discover patterns and features necessary to build machine learning models Design and implement end-to-end solutions using Machine Learning, Optimization, and otheradvanced computer science technologies, and own live deployments Expertise in specialized areas such as Optimization, NLP, Reinforcement Learning,Probabilistic Inference, Machine Learning, Information Retrieval, Recommendation Systems Experience with frameworks for either Machine Learning or NLP (Scikit-Learn, SpaCy,Pytorch, Spark NLP)Preferred QualificationsExposure to Healthcare Domain knowledge. Masters in Data Science or Business Analytics Experience with cloud computing environment (ideally Microsoft Azure) and the organizational risks oftransitioning from on-prem to cloud infrastructure.EducationB.S. Computer Science, Engineering, Statistics, Astronomy/Physics, Economics, Math or relatedfields, MS/MBA preferredPlease send your profiles to or call me