Kforce has a client that is seeking a Machine Learning Engineer in Louisville, KY.Overview:If you are an ML Engineer with a passion for data, coding, and leveraging technology to drive business decisions, we encourage you to apply. Join our team and play a key role in shaping our ML and analytics capabilities.The ideal candidate will have a strong background in data engineering, machine learning and a passion for working with data to drive business insights. You will be responsible for developing, maintaining, and optimizing ML models, training data and model-serving systems. Your expertise in ML/AI, ML Ops and various data tools will be critical to our data-driven decision-making process.Key Responsibilities:
ML Model Development: Develop, implement, and maintain machine learning models based on ideas developed with business leaders and the technology team
Feature Design: Work with business leaders and the technology team to determine the best features to use for the development of new ML models
Training Data: Curate, clean and improve training data through data analysis, cleaning, and transformation
Coding: Write and optimize training and serving code to ensure that our machine learning investments meet the needs of the business and improve over time
ML Ops: Manage the cycle of machine learning models to ensure that new insights are incorporated into existing models and model performance in production is meeting business needs
Automation: Ensure that ML development is performed using automation tools to improve team efficiencies
Machine Learning Integration: Collaborate with data scientists and machine learning engineers to integrate machine learning models into data pipelines and applications
Cloud Services: Leverage Azure services, including Azure ML, Azure Function Apps, and other cloud technologies to optimize data processes and ensure scalability
Bachelor's degree in Computer Science, Machine Learning, or a related field
3 years of experience in ML/AI engineering or a related role
Technical Skills:
Proficiency in coding, with a strong emphasis on Python and SQL
Solid experience with database platforms and technologies, including MS-SQL Server, other SQL databases
Familiarity with python packages commonly used in ML and AI
Knowledge of Azure ML and machine learning concepts
Experience working with Azure services and cloud technologies
Strong analytical skills and the ability to work with complex data sets
Proficiency in data modeling and database design
Familiarity with common ML/AI models and their applications
Familiarity with ML Ops and building systems at scale
Excellent problem-solving skills and the ability to work independently and collaboratively
Strong communication skills to convey complex technical concepts to non-technical stakeholders
Attention to detail and a commitment to delivering high-quality work
Willingness to stay up to date with industry trends and emerging technologies
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.
Compensation Type:YearsMinimum Compensation:10000.00Maximum Compensation:10000.00