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MLOps Engineer I

Salary

$0.09215000000000001k - $0.17468k

Min Experience

2 years

Location

remote

JobType

OTHER

About the job

Info This job is sourced from a job board

About the role

OverviewPosition Summary: As an MLOps Engineer I, you'll be a member of a team dedicated to productionizing machine learning models and systems, including the implementation of data science pipeline orchestration and automation. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging state-of-the-art technology platforms. You'll serve as a major technical contributor, writing and reviewing model and application code, as well as ensuring high availability and performance of our batch, API, and streaming machine learning applications. You'll have the opportunity to continuously learn & apply the latest innovations and best practices in machine learning engineering. Geo-Salary Information State specific pay scales for this role are as follows: $92,154 to $174,681 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $83,776 to $158,801 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $75,399 to $142,921 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. ResponsibilitiesEssential Job Functions: Develop and use modern software engineering practices to deploy ML solutions at scale, including building CI/CD pipelines and automated testing. Work with Data Scientists and Data Engineers to build automated pipelines that train, run and monitor ML Models for business applications in an agile and elegantly orchestrated manner Enhance and improve the code deployment and model monitoring frameworks and project operations documentation Support life cycle management of deployed ML model life cycle management (e.g. new releases, change management, monitoring and troubleshooting) Support the MLOps Platform, including model registry, model deployment, and feature store. Knowledge of cloud-based infrastructure and demonstrated ability to architect scalable and extensible services. Collaborate with expert vendors and IT application teams for integrating ML models including defining SLAs and designing highly automated end-to-end testing Other functions may be assigned

About the company

Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

Skills

sql
python