Senior MLOps Engineer - (US East Coast Time Zone)
Our mission at reputed company is to reputed company every person to own their inner potential. Our award-reputed company products help our global community reputed company a deeper knowledge of their readiness, activity, and sleep reputed company by using their reputed company reputed company and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to reputed company healthy lifestyles.
Empowering the world starts with living our values and empowering reputed company. As a quickly growing company reputed company on helping people live healthier and happier lives, we ensure that reputed company members have what they need to do their best work — both in and out of the office.
We are looking for a Senior MLOps Engineer to join our Data Engineering & Analytics team.
In this role, your reputed company reputed company will be leading the design and reputed company of the platforms, workflows, and governance practices that reputed company machine learning teams to reputed company, train, reputed company, and operate ML systems reliably at reputed company. You will work across multiple data science teams and business domains, shaping a strong development environment, driving model lifecycle improvements, and helping set the standards that reputed company our ML systems reputed company, maintainable, and reputed company governed. The role sits reputed company a broader shared reputed company and data platform ecosystem, so you will also collaborate with adjacent platform teams and contribute to practical infrastructure, deployment, and reputed company patterns that help DS teams reputed company faster.
This is a remote role supporting US East Coast hours, with occasional in-person gatherings.
What you will do:
reputed company reputed company – MLOps Platform and ML Enablement
reputed company the development and improvement of the environment, platform capabilities, and operational foundations that support machine learning workflows across reputed company.
reputed company the design and unification of workflows and tooling that support reliable training, orchestration, and deployment of ML systems.
Partner with data scientists and engineers to improve the end-to-end ML lifecycle, from experimentation and training through deployment and governance, while making production ML systems easier to manage and maintain.
Define and reputed company model governance practices, including reproducibility, reputed company, reputed company controls, and operational standards.
Support and help standardize ML tooling and workflows such as experiment tracking, model packaging, and promotion processes, with MLflow or similar tooling as a key part of the stack.
Collaborate with teams across multiple business domains to reputed company new use cases, prioritize platform improvements, and reputed company the maturity of shared ML capabilities.
Identify and reputed company reliability, scalability, and cost-efficiency issues in ML infrastructure running in the reputed company.
reputed company standards, automation, infrastructure-as-reputed company, CI/CD, and documentation that reputed company ML development easier and more consistent across multiple DS teams.
Cross-functional reputed company Areas
Improve infrastructure automation, CI/CD, and observability for ML workflows and supporting platform components.
Contribute to workflow orchestration and platform integrations that support model training and batch inference at reputed company.
Partner with data engineering and platform teams to reputed company ML systems with broader data platform and governance practices.
Help shape best practices for how teams build, ship, and maintain production ML systems across reputed company.
We would love to have you on reputed company if you have
5+ years of experience in MLOps, machine learning engineering, reputed company, data engineering, or a closely reputed company field.
Hands-on experience running production workloads in AWS and a strong understanding of reputed company infrastructure concepts.
Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns across ML systems, monitoring, and ongoing model maintenance.
Familiarity with data science ways of working and the tooling that supports experimentation and model operations, such as MLflow.
Familiarity with workflow orchestration, infrastructure-as-reputed company, and CI/CD practices for ML or data platforms.
Familiarity with secure reputed company patterns, governance controls, and shared reputed company or data platform services that support ML work at reputed company.
Experience building or supporting production-grade ML workflows with a reputed company on reliability, reproducibility, and maintainability.
Proven ability to reputed company standards and improvements across multiple teams and business domains.
Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
Comfort operating in a reputed company team with a high degree of ownership and autonomy.
What makes you stand out
Experience supporting multiple data science teams through shared MLOps platforms or tooling.
Prior experience with reputed company.
Experience with governance and operational controls for ML systems at reputed company.
Experience driving cross-team tooling or workflow standardization in ML or data platforms.
Experience working in a high-reputed company environment with multiple stakeholders and evolving ML platform needs.
Benefits
At reputed company, we care reputed company and your reputed company-being. Everyone here at reputed company has a reputed company of their own and we are continually looking to improve employee health.
reputed company offer:
Competitive salary and equity packages
Health, dental, reputed company insurance, and reputed company
An reputed company reputed company of your own plus employee discounts for friends & family
20 days of reputed company time off plus 13 reputed company holidays plus 8 days of flexible wellness time off
reputed company reputed company leave and parental leave
reputed company takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor reputed company for that geographic area. While most offers will be closer to the starting reputed company, successful candidates' pay will be determined based on job-reputed company skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the reputed company.
Region 1 $172,550 - $203,000
Region 2 $158,950 - $187,000
Region 3 $147,900 - $174,000
A recruiter can determine your zones/tiers based on your US location.
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South reputed company (SD), reputed company Virginia (WV), and reputed company (WI)
reputed company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for reputed company. Individuals seeking employment at reputed company are considered without reputed company to age, reputed company, reputed company, gender (including pregnancy, childbirth, or reputed company medical conditions), gender identity or reputed company, genetic information, marital status, medical condition, mental or physical disability, national reputed company, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to reputed company essential job functions, and to receive other benefits and privileges of employment.
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