Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
NLP
ML
llm
Job Details
Role : Machine Learning Ops Engineer
Location : Woodlawn, MD OnsiteRole
Location : Woodlawn, MD OnsiteRole
Description:
Masters +5 years of experience or Bachelor's Degree + 7 years of experience
Understanding ML development lifecycle (labeling, training, testing, deployment, monitoring)
Experience deploying high throughput ML models to a production environment. In particular, managing and deploying custom built applications (e.g. with limited to no use of Docker containers)
Expert in Python and dev/test/prod deployment pipelines
Requires proficiency in:
Java
Query languages such as SQL (PostgreSQL) and NoSQL (MongoDB)
Other programming concepts and tools such as regular expressions and version control (Git)
Experience managing ML model performance, such as memory management and debugging
Experience with ML frameworks: Tensorflow, Pytorch, ONNX, Scikit-Learn, Pandas, Keras, Tesseract, Sagemaker, AWS++6
Understanding of ethical AI principles
Excellent oral and written communication skills, and time management skills
Formulate and rapidly prototype various approaches as well as effectively communicate the pros and cons of each.
Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals
Provide technical guidance in the fields of NLP, Machine Learning, Statistical Methods
Provide data-driven approaches to tackle various business and NLP problems
Experience with statistical model building (particularly classification)
Ability to leverage domain knowledge as well as methods to improve model performance
Masters +5 years of experience or Bachelor's Degree + 7 years of experience
Understanding ML development lifecycle (labeling, training, testing, deployment, monitoring)
Experience deploying high throughput ML models to a production environment. In particular, managing and deploying custom built applications (e.g. with limited to no use of Docker containers)
Expert in Python and dev/test/prod deployment pipelines
Requires proficiency in:
Java
Query languages such as SQL (PostgreSQL) and NoSQL (MongoDB)
Other programming concepts and tools such as regular expressions and version control (Git)
Experience managing ML model performance, such as memory management and debugging
Experience with ML frameworks: Tensorflow, Pytorch, ONNX, Scikit-Learn, Pandas, Keras, Tesseract, Sagemaker, AWS++6
Understanding of ethical AI principles
Excellent oral and written communication skills, and time management skills
Formulate and rapidly prototype various approaches as well as effectively communicate the pros and cons of each.
Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals
Provide technical guidance in the fields of NLP, Machine Learning, Statistical Methods
Provide data-driven approaches to tackle various business and NLP problems
Experience with statistical model building (particularly classification)
Ability to leverage domain knowledge as well as methods to improve model performance
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.