6 ml ops engineer jobs at 6 companies in Lennox, CA
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Senior ML Ops Engineer
El Segundo, California, United States
$150k-$220k/yr HybridFull Time
4+ YOERequires 4+ years in MLOps, ML engineering, DevOps, or related infrastructure; strong Python; Airflow; MLflow; AWS ML workloads; containers; infrastructure-as-code; SQL; Snowflake; monitoring; and model development.
Python, Airflow, MLflow, AWS, AWS Batch, Amazon EC2, Amazon S3, AWS IAM, Amazon CloudWatch, SQL, Snowflake, HIPAA, SOC 2, infrastructure-as-code
3w
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Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, California, United States
$150k-$250k/yr HybridFull Time
5+ YOE5+ years building large-scale systems with 2+ years on ML infrastructure; BS in CS/ML/engineering; proficiency in Python and Git; experience with CI/CD, distributed training, cloud ML architectures; strong communication and system design skills.
MLflow, SageMaker, Kubeflow, Airflow, Metaflow, Python, Git, PyTorch DDP, Horovod, Ray, AWS, GCP, Azure
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Staff II Software Engineer AI/ML Ops
Pleasanton or New York City or Los Angeles
$245k-$307k/yr HybridFull Time
Extensive experience building and operating ML/AI production systems, designing scalable data pipelines, distributed training, model deployment, CI/CD, observability, and cloud infrastructure.
PySpark, FiveTran, Plaid, PyTorch, TensorFlow, scikit-learn, Airflow, Kubeflow, Vertex AI, MLflow, W&B, LangChain, LangGraph, ADK, Prometheus, Grafana, Newrelic, Docker, Kubernetes, Python, Java, Scala, GCP, AWS, Azure, Bash, Apache Airflow
3mo
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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
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Machine Learning Engineer, Senior Manager
Southfield or San Francisco or Seattle or Boston or New York City or Los Angeles or San Diego or United States
$184k-$270k/yr RemoteFull Time
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Kubeflow, DVC, Ray, gRPC, GraphQL, Databricks MLflow, Databricks Model Serving, MLflow, Apache Airflow, Spark, Flink, Kafka, Kinesis, Snowflake, Databricks, XGBoost, Transformers
2mo
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Principal, Applied AI Enablement, Legal
West Hollywood, California, United States
$150k-$220k/yr OnsiteFull Time
Experienced AI/product builder to prototype, ship, and iterate AI tools for legal work; strong applied ML/AI judgment, prototyping, evaluation, and ability to partner with legal, engineering, and ops teams.