What are the responsibilities and job description for the AI/ML Engineers position at Kforce Technology Staffing?
Job Details
RESPONSIBILITIES:
Kforce has a client in need of AI/ML Engineers in Tampa, FL.
Responsibilities:
* Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs)
* Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals
* Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities
* Design and develop machine learning models and algorithms to address business challenges and improve product features
* Deploy machine learning models in production environments to ensure scalability and efficiency
* Optimize and refine models based on performance metrics and feedback
* Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation
* Implement data augmentation and feature engineering techniques to enhance model performance
* Maintain and manage data pipelines to ensure seamless data flow and integration
* Develop scalable APIs in python (fastApi, Apache, Gunicorn) for model inferencing
* Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals
* Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner
* Provide mentorship and guidance to junior team members and contribute to the upskilling of the team
REQUIREMENTS:
* Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field
* 6 years of experience in Machine Learning and Data Science
* Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms
* Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs
* Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform)
* Experience in building Asynchronous Python APIs
* Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau
* Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions
* Proven experience in developing and deploying machine learning models in a production environment
* Experience working with large datasets and performing data analysis
* Previous experience in a similar role or industry is preferred
* Excellent communication and collaboration skills
* Strong problem-solving skills and analytical thinking
* Passion for learning and staying up to date with the latest advancements in AI field
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 ?Apply Today? 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.
Kforce has a client in need of AI/ML Engineers in Tampa, FL.
Responsibilities:
* Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs)
* Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals
* Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities
* Design and develop machine learning models and algorithms to address business challenges and improve product features
* Deploy machine learning models in production environments to ensure scalability and efficiency
* Optimize and refine models based on performance metrics and feedback
* Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation
* Implement data augmentation and feature engineering techniques to enhance model performance
* Maintain and manage data pipelines to ensure seamless data flow and integration
* Develop scalable APIs in python (fastApi, Apache, Gunicorn) for model inferencing
* Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals
* Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner
* Provide mentorship and guidance to junior team members and contribute to the upskilling of the team
REQUIREMENTS:
* Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field
* 6 years of experience in Machine Learning and Data Science
* Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms
* Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs
* Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform)
* Experience in building Asynchronous Python APIs
* Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau
* Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions
* Proven experience in developing and deploying machine learning models in a production environment
* Experience working with large datasets and performing data analysis
* Previous experience in a similar role or industry is preferred
* Excellent communication and collaboration skills
* Strong problem-solving skills and analytical thinking
* Passion for learning and staying up to date with the latest advancements in AI field
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 ?Apply Today? 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
