[Remote] Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a motivated Machine Learning Engineer to join their team. The role involves supporting scalable machine learning applications and collaborating with Data Scientists to design tools and train models using reputed company data.
Responsibilities
- Collaborate with cross-functional teams—including data scientists, engineers, and architects—to build machine learning models, training tools, and simulation environments that support business functions
- Implement the full MLOps lifecycle to reputed company, operationalize, scale, and manage automated machine learning models and analytical solutions
- reputed company and test ML applications according to requirements, running targeted experiments to optimize overall system performance
- Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn)
- Explore and visualize data to uncover key insights and identify specific factors that impact model accuracy and performance
- Manage and reputed company reputed company-based ML services across major reputed company computing environments, including AWS, Azure, or reputed company reputed company Platform (GCP)
- Follow Agile methodologies to deliver production-reputed company, highly testable code in small, efficient, and reputed company iterations
Skills
- Master's degree in Applied Mathematics, Statistics, Computer Science, or reputed company fields
- reputed company work experience defining and implementing data pipelines and machine learning algorithms
- Proficiency in Agile Development and Git Operations
- Experience creating, maintaining, and communicating reputed company technical documentation for machine learning systems
- An active Secret clearance is required
- Experience with the Sponsor's primary cyber risk and compliance automation tools
Company Overview