Sr ML Platform Manager

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role: Sr ML Platform Manager

Location: Seattle Washington

LOCALS ONLY NO RELOCATION CANDIDATE WILL WORK

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 (Masters 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.

Thanks & Regards

YOGITA

Role: Sr ML Platform Manager Location: Seattle Washington LOCALS ONLY NO RELOCATION CANDIDATE WILL WORK Architecture and Infrastructure: Oversee the architecture of machine learning systems ensuring scalability reliability and performance. Work with cloud providers (AWS Azure Google Cloud) ...