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Sr. Staff MLOps Engineer (REMOTE)

Lensa

San Jose (CA)

Remote

USD 115,000 - 245,000

Full time

Yesterday

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Job summary

Join a leading company as a Senior Staff MLOps Engineer, working with cutting-edge AI technologies in healthcare. You will be part of a dynamic team responsible for developing systems in a cloud-native environment and play a crucial role in enhancing patient outcomes through innovative solutions.

Benefits

Health benefits include medical, dental, and vision insurance.

401(k) plan

Employee Stock Purchase Plan (ESPP)

Flexible Spending Accounts (FSA)

Wellbeing program

Tobacco cessation program

Qualifications

6+ years of experience in machine learning operations or software/platform development.
Strong knowledge of programming languages commonly used in AI/ML.
Experience with Azure cloud platform.

Responsibilities

Design, develop, and maintain MLOps systems that interact with AI models.
Provide technical leadership in cloud-native environments.
Troubleshoot software problems for AI/ML systems.

Skills

Python

C++

Education

Bachelor's degree in Software Engineering/ Computer Science

Tools

Azure

TensorFlow

PyTorch

Keras

Docker

Kubernetes

Git

Jenkins

GitLab CI/CD

Azure DevOps

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Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Stryker.

What You Will Do

As a valued member of Stryker’s AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, AI/ML and digital innovation to the operating room and other healthcare settings. You’ll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Stryker’s solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency – plus many more.

We are in search of a skilled and experienced Sr. Staff MLOps Engineer to join our team, with a focus on building systems and applications that interact with AI models in a cloud-native (Azure) environment. In this position, you'll be responsible for designing, developing, and maintaining complex software applications that flawlessly integrate with state-of-the-art AI and machine learning technologies.

Design, develop, and maintain complex, high-performance, and scalable MLOps systems that interact with AI models and systems.
Cooperate with cross-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope, and ensure alignment with business goals.
Offer technical leadership and expertise in choosing, evaluating, and implementing software technologies, tools, and frameworks in a cloud-native (Azure + AML) environment.
Troubleshoot and resolve intricate software problems, ensuring optimal performance and reliability when interfacing with AI/ML systems.
Participate in software development project planning and estimation, ensuring efficient resource allocation and timely solution delivery.
Contribute to the development of continuous integration and continuous deployment (CI/CD) pipelines.
Contribute to the development of high-performance data pipelines, storage systems, and data processing solutions.
Contribute to the creation and maintenance of technical documentation, including design specifications, API documentation, data models, data flow diagrams, and user manuals.

Required Qualifications

What You Will Need:

Bachelor's degree in Software Engineering/ Computer Science or related discipline
6+ years of experience in machine learning operations or software/platform development.
Strong knowledge of programming languages commonly used in AI/ML, such as Python, R, or C++.
Experience with Azure cloud platform, machine learning services, and best practices.

Preferred Qualifications

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience with version control systems, such as Git, and CI/CD tools, such as Jenkins, GitLab CI/CD, or Azure DevOps.
Knowledge of containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.
$115k-245k salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

If you have questions about this posting, please contact support@lensa.com

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting

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