Keysight Technologies

Keysight Technologies

Machine Learning Engineer

Colorado Springs, Colorado, USA · full-time

Sponsorship not specified$146k-$146kDetected 64 days ago
PythonData StructuresSQLSnowflakeAWSGCPAzureCloud PlatformsCI/CDDevOpsMachine LearningTensorFlowPyTorchscikit-learnAirflowData EngineeringData ScienceMLOpsStatisticsSalesforceForecastingSupply ChainCustomer Support5G/LTE

About the role

  • We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
  • Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

Responsibilities

  • Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization.
  • Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries.
  • You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact.
  • Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.
  • Develop domain-specific models and continuously improve them using feedback loops and real-world performance data.
  • Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.
  • Perform feature selection, transformation, and engineering aligned with each domain's business logic.

Requirements

  • Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
  • Experience deploying models into production using ML pipelines and orchestration frameworks.
  • Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or Google Cloud Platform Vertex AI).
  • This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain.

Nice to have

  • Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.
  • Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).
  • Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).
  • Background in statistics, forecasting, optimization, or recommendation systems. #LI-MO1 Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
  • Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

Skills

  • Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

Compensation

  • MIN $145,970.00 - MAX $266,930.00 Colorado
  • MIN $135,150.00- MAX $225,250.00 District of Columbia
  • MIN $135,150.00- MAX $225,250.00 Hawaii
  • MIN $135,150.00- MAX $225,250.00 Illinois
  • MIN $135,150.00- MAX $225,250.00 Maryland
  • MIN $135,150.00- MAX $225,250.00 Massachusetts

Benefits

  • Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.
  • We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise.
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