Keysight Technologies · 6 hours ago
Machine Learning Engineer
Colorado Springs, CO
Full-time
Onsite
Mid, Senior Level
$146K/yr - $267K/yr
4+ years expKeysight Technologies is at the forefront of technology innovation, delivering breakthroughs in various markets. They are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that drive business decisions across the enterprise, collaborating with data scientists and business partners.
AnalyticsCloud SecurityElectronicsManufacturingNetwork SecurityProduct DesignSoftwareTest and MeasurementWireless
Responsibilities
Machine Learning Development & Deployment
Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification
Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience
Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow
Cross-Functional ML Use Cases
Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases
Develop domain-specific models and continuously improve them using feedback loops and real-world performance data
Model Governance and MLOps
Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments
Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure)
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
Communication & Stakeholder Collaboration
Present technical insights and model results to business and executive stakeholders in a clear, actionable format
Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects
Qualification
Required
4-6 years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation
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 GCP Vertex AI)
Preferred
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
Benefits
Medical, dental and vision
Health Savings Account
Health Care and Dependent Care Flexible Spending Accounts
Life, Accident, Disability insurance
Business Travel Accident and Business Travel Health
401(k) Plan
Flexible Time Off, Paid Holidays
Paid Family Leave
Discounts, Perks
Tuition Reimbursement
Adoption Assistance
ESPP (Employee Stock Purchase Plan)
Restricted Stock Units
Company
Keysight Technologies
Keysight Technologies is an electronic measurement company.
10001+ employees
H1B Sponsorship
Keysight Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (67)
2023 (122)
2022 (110)
2021 (93)
2020 (113)
Funding
Current Stage
Public CompanyTotal Funding
$1.35BKey Investors
Department for Science, Innovation and Technology (DSIT)
2025-04-10Post Ipo Debt· $750M
2024-10-02Post Ipo Debt· $600M
2023-09-15Grant
Leadership Team
Satish Dhanasekaran
President and Chief Executive Officer
B
Brad Doerr
Vice President and General Manager
Recent News
2026-01-11
2026-01-07
Company data provided by crunchbase