Overview
Remote
On Site
$54 - $67 hourly
Contract - W2
Contract - Temp
Skills
Machine Learning (ML)
Product design
Statistical models
Decision trees
Logistic regression
Data management
Deep learning
Virtual reality
Augmented reality
Artificial intelligence
Data Analysis
Version control
Algorithms
Data
Software development
Specification
Testing
Debugging
Documentation
Robotics
Modeling
Generative Artificial Intelligence (AI)
Apache Spark
Python
Machine Learning Operations (ML Ops)
SQL
Amazon SageMaker
Amazon Web Services
GitHub
Screening
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a fully remote Machine Learning.
Responsibilities:
In new product design roles:
* Develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments
* Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms
In product/systems improvement projects:
* Uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
* In both theoretical development environments and specific product design, implementation, and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code
* Completes programming and implements efficiencies, performs testing and debugging
* Completes documentation and procedures for installation and maintenance
* Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations
* Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics, and other products that allow users to have an interactive experience
* Can work with large scale computing frameworks, data analysis systems and modeling environments
REQUIREMENTS:
* Bachelor's degree and minimum 5 years of directly relevant work experience; Note: One of the following alternatives may be accepted: PhD or Law + 3 years; Masters + 4 years; Associates degree + 6 years; High School/GED + 7 years
* Hands on experience and production level
* Engineering background, not a data scientist
* Exposure to GenAI tools and capabilities will be a plus
* Tools: Spark, Python, ML Algorithms/MLOps, SQL, Airflow, Sagemaker, AWS, GitHub, version control
* Exposure to GenAI tools and capabilities will be a plus
Interview:
* 3 rounds
* Screening, Technical Interview, and a Panel with other team members
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.
Kforce has a client that is seeking a fully remote Machine Learning.
Responsibilities:
In new product design roles:
* Develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments
* Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms
In product/systems improvement projects:
* Uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
* In both theoretical development environments and specific product design, implementation, and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code
* Completes programming and implements efficiencies, performs testing and debugging
* Completes documentation and procedures for installation and maintenance
* Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations
* Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics, and other products that allow users to have an interactive experience
* Can work with large scale computing frameworks, data analysis systems and modeling environments
REQUIREMENTS:
* Bachelor's degree and minimum 5 years of directly relevant work experience; Note: One of the following alternatives may be accepted: PhD or Law + 3 years; Masters + 4 years; Associates degree + 6 years; High School/GED + 7 years
* Hands on experience and production level
* Engineering background, not a data scientist
* Exposure to GenAI tools and capabilities will be a plus
* Tools: Spark, Python, ML Algorithms/MLOps, SQL, Airflow, Sagemaker, AWS, GitHub, version control
* Exposure to GenAI tools and capabilities will be a plus
Interview:
* 3 rounds
* Screening, Technical Interview, and a Panel with other team members
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.