3mo
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Payer Dev, Git & ML-Ops Engineer, Senior Associate
Boston or Indianapolis or Raleigh or Charlotte or Jacksonville or Chicago or Cincinnati or Cleveland or Columbia or Kansas City or Columbus or Dallas or Las Vegas or Los Angeles or Baltimore or Birmingham or St. Louis or Salt Lake City or San Diego or San Francisco or Silicon Valley or Seattle or Stamford or Tampa or Toledo or Austin or Washington or New York or Florham Park or Philadelphia or Phoenix or Pittsburgh or Houston
$77k-$202k/yr OnsiteFull Time
4+ YOEBachelor's degree; 4+ years software or data engineering; experience with dbt on Databricks; healthcare analytics experience; CI/CD pipelines for Databricks; Azure Databricks workspace provisioning; Python CLI tools.
Databricks, dbt, Azure Databricks, Python, YAML, argparse, CI/CD, AI agent systems
2mo
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Senior Machine Learning Engineer - News
New York or Glendale
$149k-$199k/yr HybridFull Time
5+ YOE5+ years in production ML engineering; strong CS/math background; backend microservices; cloud (AWS); data pipelines; ML Ops; leadership and collaboration.
AWS, Step Functions, Lambda, Glue, SQS, SNS, Personalize, Spark, Databricks, Kinesis, Kafka, REST, CI/CD, Datadog, Rest APIs
1mo
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Director, Decision Science AI/ML Engineering & Ops
Burbank or Lake Buena Vista
$218k-$307k/yr HybridFull Time
12+ YOE12+ years of experience leading decision scientists/ML engineers; strong statistical and modeling fluency; proficient in Python/SQL/R; able to deploy production-grade decision-science software; leadership and collaboration skills; experience with GitLab/GitHub, Docker, CI/CD.
Python, R, SQL, GitLab, GitHub, Docker, CI/CD
1w
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Sr. Ops Innovation Manager
Rosemead, California, United States
$127k-$178k/yr HybridFull Time
7+ YOEBachelor's in Industrial Engineering (or related),7+ years in engineering/process design/data analysis/Lean with management responsibility; training completion and Food Handler's Card within 30 days required.
4w
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DataOps Analyst
Santa Monica or Los Angeles
$100k-$115k/yr OnsiteFull Time
2+ YOEBachelor's in CS/Data Science or equivalent experience, 2+ years in data ops/engineering/analysis, Python and Bash proficiency, AWS (S3, Lambda, Glue) experience, Linux and Git fluency, strong data-quality and communication skills.
Polaris, Python, Bash, Linux, Git, AWS, S3, Lambda, Glue, DICOM, OCT