What are the responsibilities and job description for the AI / ML Engineer position at Kforce Inc?
Responsibilities
Kforce has a client in Cincinnati, OH that is seeking an AI/ML Engineer. Responsibilities:
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 Cincinnati, OH that is seeking an AI/ML Engineer. Responsibilities:
- Lead technical ML projects spanning months
- Foster a collaborative team environment, promoting growth among junior members
- Utilize patterns, frameworks, and tools for automating and deploying ML solutions
- Develop tools and processes to monitor and analyze model performance and data accuracy
- Collaborate with researchers to optimize and scale ML solutions using DevOps and MLOps best practices
- Integrate LLM products into workflows
- Create metadata tagging schemas, document chunking strategies, vector databases, and infrastructure for RAG in GenAI workflows
- Design modularized AI and ML product architectures
- Integrate AI modules using orchestration or agentic AI frameworks
- Understand business requirements and balance scale, risk, and accuracy to maximize value
- Reduce time to delivery, automate ML pipelines, and implement continuous feedback and monitoring
- Conduct code/science reviews and QA sign-offs
- Apply documentation, version control, and internal communication practices
- Make time-sensitive decisions and solve urgent problems without escalation
- Bachelor's degree or higher in Machine Learning, Computer Science, Computer Engineering, Applied Statistics, or related field
- 4 years of experience developing cloud-based software solutions with a focus on scalability, performance, and reliability
- 4 years of experience with advanced algorithms, programming languages, or technologies
- 2 years of hands-on experience building large-scale ML models, preferably as a data scientist; 2 years in emerging AI preferred
- 2 years of experience in tech consulting, retail, or related professional services preferred
- Must be able to work Central or Eastern Time zones
- Experience in full SDLC developing software solutions that scale, leveraging CI/CD and MLOps for development, testing, and deployment
- Experience building LLM-assisted products for inference or document retrieval and summary
- Excellent communication skills, especially on technical topics
- Strong time and project management skills; Ability to balance multiple work items and prioritize
- Preferred knowledge of deep learning methods
- Experience with ML frameworks like PyTorch, TensorFlow, MLLib, and MLFlow
- Knowledge of E2E ML pipeline and MLOps tools (e.g., model registry, experiment tracking, feature store, model monitoring)
- Hands-on experience with technologies like Azure, Spark, Nvidia Triton, and Databricks
- Strong Python skills
- Kubernetes and Docker experience
- CI/CD pipeline experience; GitHub Actions a plus
- Terraform experience
- API development experience a plus
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.
Salary : $75 - $80
