ML and Analytics Database Development and Implementation
ReSurfX leverages a novel data-source agnostic machine learning approach ‘Adaptive Hypersurface Technology’ (AHT) we invented, to provide uniquely differentiated and powerful AI solutions including for automated knowledge extraction and advance prediction of outcomes directions. ReSurfX provides these values as enterprise software products as well as by improving measurement technologies at sensor and component levels. Our enterprise SaaS platform ReSurfX::vysen has ‘best-in-class’ functionalities including the remarkably powerful System Response based Triggers and Outcomes Predictor (SyRTOP).
We invite you to join ReSurfX and revolutionize at the leading edge of AI creating impactful solutions for important societal needs. Invent, analyze, design, build, scale, sell, maintain some of the best products by applying your technical and business knowledge and creativity including in information technology, machine learning, data sciences, marketing, sales, measurement technologies (instrumentation and assays), and specialized sector knowledge of healthcare, pharma, biotech. Send your information and interest to info(at)resurfx.com with [Internship 2022] and the internship title of your primary interestincluded in Subject line of email.
ReSurfX internship program is unique as they are tailored to provide opportunity and training towards career and life goals of the team members and has been an excellent success. The diversity of intern team members across the spectrum of education, experience levels and roles who have passed through ReSurfX and successfully progression towards their goals can be seen in our website. As a multi-disciplinary company ReSurfX involves people from various sector and technical, market expertise. Our culture places immense care and values growth of each member towards their goal while accomplishing company growth. We strive to provide a fun loving culture and environment that also aids intense focus to provide the best products to the market and immense value to all stakeholders.
The summer internships for 2022 are remote. However candidates in reasonable traveling distance to our Cambridge, MA location will be preferred to maintain the possibility of meeting occasionally. ReSurfX technology internships for 2022 are interrelated with partially overlapping skillset requirements geared towards common goals. With perspectives that the different internships overlap and internships have a significant training component: (i) it will help to scan through multiple positions to find your fit as there is significant flexibility; and (ii) each position includes broad skillsets that intended to convey ‘components of’, ‘some combination of’ and ‘aimed towards’.
The internships are initially for three months between May 1st and December 30th – with start date ideally coordinated with other members starting around the same time.
The objectives for the internships will be application oriented and choice of projects will depend on prior exposure and future goals of the intern and aligned with interests of the company. Enthusiastic, motivated, collaborative and quick learning individuals with good communication and documentation skills will thrive and significantly elevate your career skills suited for success in most modern digital enterprises.
ML and Analytic Database Development and Implementation
The Big Data ML and Analytics Data Store Engineering Intern(s) will primarily be involved in the database tier used in analytics and AI products including extract-transform-load (ETL) capabilities for and query and integration of data with downstream processing. The term database is used in a loose sense, and also refers to contemporary variants involving data store(s) in different formats. The project will involve some combination of data collection, data quality analysis, data format conversions, schema creation and alterations, developing relevant queries and scripts, sophisticated use of APIs, data transactions in variety of formats and sources, orchestration and control of flow (as in DevOps or MLOps) between data stack and other layers.
Proficiency and experience with databases, schema development and modifications, scripting languages (SQL and Python are essential) and data structures; data stores, data pipelines, bottleneck analysis and remediation; API development and usage; well established and contemporary tools for data storage and transactions. Prior experience with large volume data usage in other application tiers will be a significant advantage.