AI/ML Engineer

RESPONSIBILITIES:
Kforce has a client that is seeking a remote AI/ML Engineer to join their team.

Summary:
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.

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
* Trains and fine-tunes models using various algorithms and frameworks
* 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

REQUIREMENTS:
* A Bachelor's degree in Data Science, Computer Science, Management Information Systems, Statistics, or related field
* 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
* Knowledge and ability to deploy, manage and optimize machine learning models in production environments in AWS and Azure
* Ability to trigger CI/CD pipelines after code reviews and approvals
* 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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