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    Home/Jobs/Machine Learning Engineer

    Machine Learning Engineer

    Keysight

    Colorado Springs / Colorado
    4-6 years
    10 days ago
    ₹14–23 LPA
    Full-time
    Onsite

    Skills Required

    Python
    Scikit-learn
    XGBoost
    PyTorch
    TensorFlow
    MLflow
    Apache Airflow
    Kubeflow
    SQL
    AWS
    Azure
    GCP
    Snowflake
    Databricks

    Description

    Keysight is seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise.

    Company: Keysight

    Role: Machine Learning Engineer

    Location: Colorado Springs, Colorado

    Experience:

    • 4-6 years of experience in machine learning, data science, or AI engineering

    Qualification:

    • Strong software engineering foundation
    • Proficiency in Python and libraries
    • Experience deploying models into production using ML pipelines and orchestration frameworks
    • Strong understanding of data structures, SQL, and cloud platforms

    Role Focus: • Design and implement supervised and unsupervised models for predictive analytics • Translate business problems into ML frameworks and production solutions • Build, optimize, and maintain ML pipelines • Partner with teams across Sales, Customer Service, Finance, Supply Chain, and Order Fulfillment to define impactful ML use cases • Develop domain-specific models and continuously improve them using feedback loops and real-world performance data • Ensure robust model monitoring, versioning, and retraining strategies • Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure • Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets • Present technical insights and model results to business and executive stakeholders

    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

    Other:

    • 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
    • California Pay range: MIN $145,970.00 - MAX $266,930.00
    • Colorado pay range: MIN $135,150.00- MAX $225,250.00
    • District of Columbia pay range: MIN $135,150.00- MAX $225,250.00
    • Hawaii pay range: MIN $135,150.00- MAX $225,250.00
    • Illinois pay range: MIN $135,150.00- MAX $225,250.00
    • Maryland pay range: MIN $135,150.00- MAX $225,250.00
    • Massachusetts pay range: MIN $145,970.00 - MAX $243,280.00
    • Minnesota pay range: MIN $135,150.00- MAX $225,250.00
    • New Jersey City pay range: MIN $145,970.00 - MAX $243,280.00
    • New York pay range: MIN $160,160.00 - MAX $266,930.00
    • Vermont pay range: MIN $135,150.00- MAX $225,250.00
    • Washington state pay range: MIN $145,970.00 - MAX $243,280.00

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Python 3 Programming Specialization

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    Deep Neural Networks with PyTorch

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