

Kforce Inc
Senior Advanced ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Advanced ML Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Python, machine learning frameworks (Keras, TensorFlow, PyTorch), and distributed computing (Spark, Kubernetes). An MS/Ph.D. in a STEM field and 3+ years of relevant experience are required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
672
-
ποΈ - Date
November 18, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Washington, DC
-
π§ - Skills detailed
#Programming #Azure #Libraries #Kubernetes #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Classification #Data Processing #Python #"ETL (Extract #Transform #Load)" #Cloud #Transformers #Scala #Monitoring #Leadership #Deployment #PyTorch #Spark (Apache Spark) #Computer Science #Keras #Distributed Computing #Clustering #ML (Machine Learning) #TensorFlow #Deep Learning
Role description
Responsibilities
Kforce has a client seeking a hybrid Senior Advanced ML Engineer to join their team. The Senior Advanced ML Engineer will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. They will be responsible for acting as the subject matter expert for technical AI projects and provide direction on exploring and implementing methodologies and best practices. In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology. Responsibilities:
β’ Collaborate with colleagues across multiple function groups on unique challenges across different business units
β’ Develop complicated, scalable and robust analytics solutions to solve business problems
β’ Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space
β’ Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks
β’ Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring
β’ Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks
Requirements
β’ MS or Ph.D. in Computer Science, Electrical Engineering, or STEM related fields
β’ 3+ years of industry experience with Python in a programming intensive role
β’ 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, deep learning
β’ 3+ years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
β’ 3+ years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.)
β’ 3+ years of industry experience with major cloud computing services (AWS, Azure, etc.)
β’ Prior experience in building data products and established a track record of innovation
β’ An effective communicator - you shall be an ambassador of AI initiatives and have the ability to explain technical concepts to a non-technical audience
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.
By clicking βApply Todayβ you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Responsibilities
Kforce has a client seeking a hybrid Senior Advanced ML Engineer to join their team. The Senior Advanced ML Engineer will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. They will be responsible for acting as the subject matter expert for technical AI projects and provide direction on exploring and implementing methodologies and best practices. In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology. Responsibilities:
β’ Collaborate with colleagues across multiple function groups on unique challenges across different business units
β’ Develop complicated, scalable and robust analytics solutions to solve business problems
β’ Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space
β’ Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks
β’ Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring
β’ Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks
Requirements
β’ MS or Ph.D. in Computer Science, Electrical Engineering, or STEM related fields
β’ 3+ years of industry experience with Python in a programming intensive role
β’ 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, deep learning
β’ 3+ years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
β’ 3+ years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.)
β’ 3+ years of industry experience with major cloud computing services (AWS, Azure, etc.)
β’ Prior experience in building data products and established a track record of innovation
β’ An effective communicator - you shall be an ambassador of AI initiatives and have the ability to explain technical concepts to a non-technical audience
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.
By clicking βApply Todayβ you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.






