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.
