Job Description

Employement for this role is exclusively available in the following states:

Texas, Tennessee, North Carolina, South Carolina, Michigan, Florida, Georgia, and Colorado

The Artificial Intelligence (AI) Machine Learning (ML) Engineer is responsible for designing, developing, and implementing artificial intelligence and machine learning solutions to create intelligent and automated systems. This role works on various stages of the AI/ML development life cycle, from data preprocessing and model development to deployment and monitoring. The AI/ML developer is generally focused on integrating and implementing AI/ML algorithms and logic into the deliverables of an IT project.
Job Responsibilities

Collaborates with various stakeholders to understand, meet, and answer business challenges using AI/ML software
Develops and implements machine learning models and algorithms to solve complex problems and extract insights from large datasets
Preprocesses, cleans and transforms data to ensure its quality and relevance for training and inference
Selects appropriate machine learning techniques and models based on the problem at hand, such as supervised learning, unsupervised learning, or reinforcement learning
Trains and fine-tunes models using various algorithms and frameworks, such as TensorFlow and PyTorch
Optimizes models for performance, scalability, and accuracy, considering factors like computational resources and memory constraints
Collaborates with software engineers to integrate AI/ML models into existing systems or develop new applications
Stays updated with the latest advancements in AI/ML technologies and contributes to the adoption of best practices within the team

Education
Required:

A bachelor's degree in data science, computer science, management information systems, statistics, or related field

Preferred:

A master's degree in data science, computer science, management information systems, statistics, or related field

Experience
Required:

Three years of experience in software engineering, AI engineering, or similar field
Demonstrated expertise in machine learning, recommendation systems, pattern recognition, data mining, AI, or a related technical field

Skills/Cert/Licenses
Required

Fluency in multiple programming languages and statistical analysis tools, such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines and deep learning
Strong understanding of probability and statistical models (generative and descriptive models)
Ability to run experiments scientifically and analyze results
Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations
Ability to work independently and in a fully remote environment
Willingness and ability to stay up to date on new ML/AI technologies and their potential impact on the company
Willingness and ability to learn new technologies on the job

Preferred

AWS & Azure
Epic Cogito, Cognitive Computing, & Nebula
Tableau
Agile Scrum

Preferred
· Two years of experience in the he healthcare industry