Temporary, Contractor, Full-time
Artificial Intelligence (AI), Automation, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Collection, Data Management, Data Migration, Data Recovery, Data Sets, Data Storage, Debian Linux, Documentation, Git, GitHub, Graphical User Interface (GUI), HDF (Hierarchical Data Format), Information Systems/Technology IS/IT Administration, Internet Application, Internet Security, MariaDB, Metadata, MySQL, Oracle, Presentation/Verbal Skills, Python Programming/Scripting Language, RCS (Revision Control System), REST (Representational State Transfer), Red Hat Linux Operating System, Relational Databases (RDBMS), Requirements Management, Scientific Research, Scripting (Scripting Languages), Software Administration, Software Development, Source Code/Configuration Management (SCM), Team Player, Web Services, Writing Skills
Title: AI Integration Developer - Onsite
Mandatory skills:
structured workflows, AI integration,
AI workflow orchestrators, Dify,
relational databases, MySql, MariaDB, Oracle,
programming, scripting languages, python, automating tasks,
revision control systems, Git,
CI/CD pipelines, gitlab, github, RESTful web services,
Linux, Debian, RHEL, CLI administration, development,
GUI development, Filtering, sanitizing, normalizing, storage, sharing,
AI-enabling metadata, HDF5 format, mechanism, inventory data, easy retrieval, coding
Description:
Scope
The client is seeking an engagement with an experienced candidate with qualifications in the listed technologies to aid the NST division and CNM User Facility in work to automate/standardize the process of collecting and storing data for AI training and collaborative ventures.
Objectives
The overall goal of this assignment is to deliver a functional and impactful workflow to aid research scientists across the NST division with data management, including, but not limited to:
Identifying location of data and the methodology to determine which data is to be managed through the workflow
Filtering, sanitizing, normalizing and/or otherwise preparing the data for storage/sharing
Packaging the data with AI-enabling metadata into an HDF5 format that can be used for long-term storage
Creating a mechanism to migrate and inventory data for easy retrieval and/or sharing
Building an interface/workflow that is accessible and easy to use by the research staff
Develop documentation of solutions
Construct all components, artifacts, etc. using acceptable tools and techniques, good coding practices and accessible documentation
Tasks and Delivery
Three projects have been identified that require data manipulation, sanitization, orchestration and automation. During the first 2-3 weeks, engagements with the scientific domain experts will provide details on understanding their datasets, locations and desired outcomes.
Once the details have been identified by the domain scientists, work will begin through an iterative development process to create a compatible workflow, using existing or new tools to achieve the desired outcomes. All tools, software and related materials will require compliance with local cybersecurity and IT standards as well as documentation of operation. Development under revision control is required.
Delivery to the domain scientists of an MVP within the first 90-days of the project is expected. The MVP need not address all of the key deliverable outcomes but must demonstrate the core of the workflow desired.
Further refinement, refactoring and feature addition is expected beyond the 90-day window.
Once the domain scientists have accepted the solution, the candidate will be assigned a new set of domain experts and a new workflow to create. It is expected that each contractor will have no fewer than two active development tasks.
Required Background, Knowledge, Skills and Abilities
Knowledge/Skill/Ability:
A strong working understanding of AI and LLMs
Ability to develop efficient prompts and structured workflows with AI integration
Familiarity with AI workflow orchestrators (e.x. Dify)
Familiarity with relational databases (e.x. MySql/MariaDB, Oracle, etc.)
Working knowledge of relevant programming/scripting languages (e.x. python) for automating tasks
Working knowledge of revision control systems (e.x. Git)
Working knowledge of CI/CD pipelines as implemented in services like gitlab/github for testing and deploying solution changes automatically
Familiarity with RESTful web services
Strong skills in Linux (Debian and RHEL) CLI administration, development and general use
Familiarity with GUI development either through web or python applications
Strong written and oral communication skills providing the ability to develop requirements for tasks through interactions with technical experts in the field
Background
Associate or bachelor’s degree in computer science, information technology, system administration, or a closely related field, or equivalent experience required
2 or more years of software development and/or system administration
Notes:
Mostly off-site schedule (up to 80%) with 40 hours per week
VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at hr@viva-it.com for any complaints, comments and suggestions.
Contact Details :
Account co-ordinator: Binodh M.T, Phone : (408) 709 3343, Email: staffing10@viva-it.com
VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008
staffing10@viva-it.com | http://www.viva-it.com