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Red Oak Technologies
Sr ML Platform Manager Contract at Seattle, Washington State

Sr ML Platform Manager Contract at Seattle, Washington State

On site

Seattle, United states

$ 67 /hour

Freelance

02-10-2025

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Skills

Communication Leadership Problem Solving Python Java Data Engineering Docker Kubernetes Monitoring Jenkins Product Management Problem-solving Training Architecture Machine Learning PyTorch TensorFlow Programming Azure AWS Analytics Data Science

Job Specifications

Sr ML Platform Manager

Seattle, Washington State

Architecture and Infrastructure:

Oversee the architecture of machine learning systems, ensuring scalability, reliability, and performance.

Work with cloud providers (AWS, Azure, Google Cloud) and on-premise solutions to optimize resource utilization and cost-effectiveness.

Model Management:

Develop and manage workflows for model training, validation, deployment, and monitoring.

Implement MLOps practices to streamline the lifecycle of machine learning models.

Collaboration:

Collaborate with cross-functional teams, including product management, data analytics, and IT, to align machine learning initiatives with business goals.

Stay informed about industry trends and emerging technologies to leverage new advancements in the field.

Stakeholder Engagement:

Communicate effectively with stakeholders to understand their needs and translate them into technical requirements and solutions.

Prepare and present reports or dashboards on the performance of machine learning initiatives.

Compliance and Ethics:

Ensure that machine learning practices align with ethical guidelines, data privacy regulations, and organizational policies.

Skills & Educational & Qualification Background: A degree in computer science, data science, engineering, or a related field; advanced degrees (Master's or PhD) are often preferred.

Technical Skills: Proficiency in programming languages such as Python, R, or Java; experience with machine learning frameworks (TensorFlow, PyTorch, etc.); strong understanding of data engineering principles.

MLOps Knowledge: Familiarity with tools and practices for model deployment and monitoring, such as Kubernetes, Jenkins, MLflow, and Docker.

Leadership: Proven experience in leading teams and managing projects, excellent communication skills, and the ability to mentor and develop team members.

Problem Solving: Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges.

About the Company

Red Oak Technologies has been servicing customers for nearly 30 years by providing IT Managed Services and Talent Solutions which are customized for each client. We Solve Tech Problems Talent Solutions: We leverage our extensive network and industry knowledge to impact how companies engage external talent partners and workforce management through Managed Resource Programs, Talent Engagements, and Direct Hire programs. Managed Services: We provide complete management and oversight of your outcome and deliverable base... Know more