Machine Learning Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Kforce Technology Staffing, is seeking a Machine Learning Engineer to design and implement comprehensive machine learning workflows and pipelines covering data preparation, model training, deployment, and monitoring.

RESPONSIBILITIES:

Perform advanced statistical analyses, including both predictive and prescriptive modeling techniques

Develop robust monitoring systems to track model performance and system health, and respond promptly to production outages

Partner closely with product teams to lead API development, maintain ML infrastructure, and integrate machine learning capabilities into products seamlessly

Collaborate with data engineers to build and refine data pipelines, packages, and tools essential to the data science team's operations

Provide technical and programmatic support throughout the full project lifecycle-from concept development and system definition to acquisition planning, design, integration, testing, delivery, and deployment

Engineer scalable, production-ready solutions for managing and serving machine learning models and data science applications

Create and maintain documentation and technical materials, including evaluation plans, Confluence pages, white papers, presentations, test reports, technical manuals, formal recommendations, and project summaries

REQUIREMENTS:

Master's degree in Computer Science, Engineering, Applied Statistics or related field, or Bachelor's degree in Computer Science, Engineering, Applied Statistics or related field and 2 years of experience in machine learning, or 4 years of experience in machine learning

Excellent communication skills including written, verbal, and technology diagrams

Understanding of the model development lifecycle and has had exposure to DevOps/MLOps/LLMOps/ModelOps

Experience with enterprise Cloud ML Services (i.e., Sagemaker, AzureML, Vertex AI), and open source AI/ML frameworks

Strong analytical and problem-solving skills

Ability to work both independently and in a team environment

Strong organizational, planning & problem-solving skills

Preferred:

Azure certification or AWS certification

Exposure in continuous integration & delivery (CI/CD) practices and tools (Git, Jenkins, uDeploy)

Exposure in with building container-based systems such as Docker

Exposure in relational and dimensional data modeling techniques

Exposure in machine learning models and concepts: regression, random forest, boosting, NLP, and deep learning

Exposure in developing and deploying complex and scalable software systems in the analytics space

Exposure in Azure Data Lake or other cloud data warehousing solutions

Exposure in triaging, troubleshooting, and fixing issues in Production environments

Exposure with orchestration and scheduling tools (Control-M)

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. #J-18808-Ljbffr