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Software/Data Engineer

Company: HeavyWater Inc.
Location: Philadelphia
Posted on: August 17, 2019

Job Description:

At HeavyWater, we're a--team of 15+ developers and product enthusiasts engineering a next generation Artificially Intelligent Virtual Assistant known as AIVA.AIVA works alongside operators, loan officers and lenders to make their jobs more efficient. Each quarter, she reads millions of documents and then summarizes significant data points for her colleagues to review.Although she's early career, she already has cut down certain manual tasks from--30 minutes to just 8 minutes!Our team employs leading-edge cloud computing technology and leverage Amazon Web Services to build AIVA's infrastructure. Her make-up is well beyond mainstream workflow automation/RPA. We're continuously training AIVA's lexicon to give her context what she's studying.--We tinker with algorithms and build deep learning networks to fortify her skill sets as she reads through bank statements, pay stubs, W2s and more. Most importantly, we capitalize on HUGE data sets from our enterprise clients (yes... that's right, we have access to the data), so we can optimize our feature selection at scale. Note --- this was all made possible because we're now a subsidiary of Black Knight --- an 11 year old Financial Services company that does $1 Billion in revenues each year.Come help us redefine data interaction in one of the oldest and most complex industries: the--mortgage industry. At HeavyWater, we are looking for passionate data scientists who understand the full continuum of big data analytics. You will take on complex problems in a big data world and make sense of it through advanced data engineering and rendering tools, undertaking the full software lifecycle of design, implementation, and integration. Together we're leveraging leading-edge cloud computing technology and Amazon Web Services to build AIVA -- an Artificially Intelligent Virtual Assistant for the mortgage industry. AIVA's skill set goes well beyond mainstream workflow automation/RPA.--We continuously train her lexicon to provide context to what she's studying. We tinker--with algorithms and build deep learning networks to fortify her capabilities as she reads through the many documents that constitute a loan package. Most importantly, we capitalize on HUGE data sets from our enterprise clients, so we can optimize our feature selection at scale. If you enjoy making complex data simple and fun to explore -- we want you on our team.Additionally, you will take ownership of our SDK which provides enterprise mortgage lenders with a standardized API to access our growing suite of RESTful web services.--If you're passionate about building better machine-learning models and want to dive deep into cloud computing, we want you on our team.Each day we train AIVA so that she can save people from millions of hours of menial, "stare-and-compare" work.--We believe that AIVA can free her colleagues' time, talent and imaginations to develop new skills, provide better service,--and become more engaged at work.Do you want the same sense of purpose from your job?Now, we are expanding our core team, and we need great people to join our team.--If you are the type of engineer that gets excited about complex AWS architecture. You're the type of guy or girl that wants to be the best expert in machine learning around.--If right now... you are sitting on one of those billion dollar projects for a major corporation that sold you on an AI mission --- but you're tethered down by bureaucracy, legacy systems and inefficient politics --- it's time to make a move. If you know that with the right tools, and the right team members you could deliver truly transformational code. If you want to show the world how machine learning can change the way we work...AIVA needs--you.Our success is contingent on your success.--Regardless of role or experience, the recipe for success at HeavyWater contains the following ingredients:Ambition.--We want to do big things--- and have an outsized effect on our customers and entire industries. We're looking for people who want to be part of that.Problem ownership.--Find it , frame it , solve it ,and teach it.Bar raising.--Establishing clear expectations is a necessary step -- but not sufficient. We're all about finding ways to push beyond expectations. Each of us must raise the bar for all of us.Goal orientation.--Our journey is important, of course. But we're not satisfied with or distracted by the journey; we're focused on our shared outcomes.Relentless optimism. We want to surround ourselves with people who see the glass half-full, people who think in terms of possibilities.All in.--Making mistakes is necessary for innovation. But we want to be sure we maximize effort , creativity and collaboration.Technical. Our hobby is coding, our favorite destination is hackathons, and we binge-watch Coursera...Communication. Writing and talking about code is the major part of our day.--There is room for a range of skills. Some you already have, and some you will quickly gain when you are here.Agile (Scaled Agile Framework)Machine Learning (Natural Language Processing--,VIsion , Classification , Search)DevOps (Infrastructure as Code, Continuous Integration and Continuous Delivery)Behavioral Driven DevelopmentDesign and ArchitectureCloud (AWS)Languages (Java, AngularJS, Python)Additional Responsibilities:Design and develop SDK framework to integrate AIVA as a virtual assistant in the flow of workDevelop, improve, and maintain API and SDK to support access across any systemProduce unit, functional, integration and interoperability tests, including automating tests when possibleCollaborate with CTO and Product to translate requirements into future product developmentImprove the accuracy and efficiency of AIVA's APIsLeverage machine learning techniques to build systems which process and derive insights from billions of data points every dayYour know-how:Bachelor's, Master's or Ph.D. in Computer Science, Engineering, Mathematics or Physics, or equivalent industry experience5+ years of professional work experience in software development or related discipline with at least 1-5 years in a software engineering or analytics-focused roleYou understand fundamental visual and interactive design disciplineAn understanding of the technology and approaches for knowledge representation and semantic reasoning, e.g., semantic web technologies, graph databases, or deep relational data modelingStrong knowledge of Javascript, Amazon Web Services (EC2, S3, and EMR or equivalent cloud computing approaches) and at least one UI library/framework (e.g. React, Angular)Working knowledge of Python, Java, and/or ScalaMinimum two years of experience with AWS , DevOPs , CI/CDKnowledge of backend coding, API development, and database technologiesUnderstanding of data flows, data architecture, ETL and processing of structured and unstructured dataExperience with distributed software suites such as Apache Hadoop, Spark, Spark Streaming, Kafka, Storm, Zookeeper, Flume, Presto, Pig, Hive, MapReduceExperience with agile (e.g., Scrum) or lean (e.g., Kanban) methodologies and practicesMinimum five years of experience building production quality cloud productsProven leadership skills including: mentoring, coaching, and collaboration; able to inspire or mentor junior and senior team members.Ability to design, architect and quickly complete projects with minimal supervision and directionYou have a passion for keeping up with the fast-emerging big data analytics technical landscape.Experience developing and managing RESTful API applications with demonstrable production-scale experienceExperience developing cross-platform technologies and packaging as an SDK/libraryAmazon Web Services (Lambda, EC2, RDS, Elastic Beanstalk, S3, etc.)Good understanding of system architecture and design and experience with large distributed systemsComfortable working in a lean, rapidly iterative product development processDemonstrated delivery of large-scale, initially-ambiguous projects

Keywords: HeavyWater Inc., Philadelphia , Software/Data Engineer, IT / Software / Systems , Philadelphia, Pennsylvania

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