Overview
0.0
Contract - W2
Skills
Microsoft Azure
Agile
Product Development
Prototyping
Python
PySpark
Java
Interfaces
HTML
Cascading Style Sheets
JavaScript Frameworks
React.js
AngularJS
Cloud Computing
DevSecOps
File Formats
NoSQL
Database
API
HIPAA
Privacy
Problem Solving
Conflict Resolution
Analytical Skill
Critical Thinking
Root Cause Analysis
Data Engineering
Orchestration
Unstructured Data
Communication
Presentations
Stakeholder Management
Positive Attitude
Usability
Open Source
Artificial Intelligence
Machine Learning (ML)
Health Care
Medical Terminology
Workflow
Job Details
Title: AI/ML Engineer
Location: 100% Remote
Duration: 6 Months
Must Have:
Implemented GraphRag in AI and ML products.
Azure cloud experience.
Improved LLM responses.
AI experience.
ML experience
Python development
Pyspark development
Additional Skills/Requirements:
Experience working in cross-functional teams following an Agile product development framework
Experience developing rapid prototypes and iterations
Expert understanding and experience deployment to production AI/ML architectures, tools, and data infrastructure to public cloud platforms.
Expert level programming skills in two or more languages, preferably including Python/PySpark, Java.
Designing and building user interfaces using HTML, CSS, and JavaScript frameworks like React or Angular.
Strong understanding of cloud computing, containerization, and DevSecOps practices
Proficient working with semi-structured file formats and NoSQL databases
Strong understanding of layers of software stack including API design, development and production deployment at scale.
Understanding of Healthcare industry standards and HIPAA privacy and security rules
Excellent problem-solving, analytical, and critical thinking skills. Ability to troubleshoot failures and perform root cause analysis to identify deficiencies in data and/or processes
Expert in data engineering and data orchestration best practices with large scale structured and unstructured data
Strong communication, presentation, and stakeholder management skills
A positive, get to yes attitude, seeking to find a solution that meets viability, value, feasibility, and usability objectives
Contributions to open-source AI/ML projects
Experience in the healthcare industry
Knowledge of medical terminology and clinical workflows
Location: 100% Remote
Duration: 6 Months
Must Have:
Implemented GraphRag in AI and ML products.
Azure cloud experience.
Improved LLM responses.
AI experience.
ML experience
Python development
Pyspark development
Additional Skills/Requirements:
Experience working in cross-functional teams following an Agile product development framework
Experience developing rapid prototypes and iterations
Expert understanding and experience deployment to production AI/ML architectures, tools, and data infrastructure to public cloud platforms.
Expert level programming skills in two or more languages, preferably including Python/PySpark, Java.
Designing and building user interfaces using HTML, CSS, and JavaScript frameworks like React or Angular.
Strong understanding of cloud computing, containerization, and DevSecOps practices
Proficient working with semi-structured file formats and NoSQL databases
Strong understanding of layers of software stack including API design, development and production deployment at scale.
Understanding of Healthcare industry standards and HIPAA privacy and security rules
Excellent problem-solving, analytical, and critical thinking skills. Ability to troubleshoot failures and perform root cause analysis to identify deficiencies in data and/or processes
Expert in data engineering and data orchestration best practices with large scale structured and unstructured data
Strong communication, presentation, and stakeholder management skills
A positive, get to yes attitude, seeking to find a solution that meets viability, value, feasibility, and usability objectives
Contributions to open-source AI/ML projects
Experience in the healthcare industry
Knowledge of medical terminology and clinical workflows
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.