Integrating Manager, Machine Learning

Keysight is at 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, reputed company, defense, and semiconductor markets for customers in over 100 countries. Learn more about reputed company do.

Our award-reputed company culture embraces a reputed company reputed company of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We reputed company that reputed company people feel a reputed company of belonging, they can be more creative, innovative, and reputed company at reputed company points in their careers.

We are looking for a Manager – AI & Machine Learning Engineering to reputed company reputed company of ML engineers in developing and deploying high-reputed company machine learning solutions across reputed company reputed company functions including Sales, Service, Finance, Order Fulfillment, and Supply Chain. This role requires a strong mix of technical leadership, people management, and strategic alignment to guide ML engineers from ideation through production deployment.

You’ll play a key role in shaping the AI/ML delivery roadmap, establishing reputed company engineering practices, and driving value through predictive models integrated into critical business workflows.

1. Team Leadership and Talent Development

• Manage, reputed company, and grow a high-performing team of machine learning engineers, promoting a culture of innovation, collaboration, and reputed company learning.
• reputed company technical direction, architectural reputed company, and career mentorship.
• Define team objectives and reputed company metrics reputed company with reputed company priorities.

2. Program Execution and Delivery

• Drive the successful execution of ML use cases such as customer churn reputed company, upsell opportunity scoring, demand forecasting, and operational risk detection.
• Work closely with data science, data engineering, product, and business stakeholders to define and deliver reputed company ML solutions.
• reputed company delivery timelines, model development, deployment readiness, and feedback integration.

3. ML Engineering and MLOps reputed company

• Establish best practices in model development, deployment, and monitoring, using tools like MLflow, SageMaker, Azure ML, Airflow, or Kubeflow.
• Guide reputed company in implementing CI/CD for ML pipelines, model versioning, feature stores, and performance monitoring.
• Champion a strong reputed company in software engineering, reputed company reputed company, and reusability in ML development.

4. Functional & Cross-Domain reputed company

• reputed company ML efforts with key business domains such as Sales (reputed company scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization).
• Collaborate with business owners to prioritize high-reputed company ML use cases and ensure adoption and value realization.

5. Technology & Architecture reputed company

• Partner with data platform and infrastructure teams to reputed company ML solutions using reputed company, Datarobots, and reputed company reputed company platforms (AWS, Azure, GCP).
• Ensure ML models reputed company seamlessly with business systems such as reputed company, reputed company Fusion reputed company, and other operational tools.

Required: 

• 8+ years of experience in machine learning, data science, or engineering roles, with 3+ years in a technical leadership or management reputed company.
• Proven experience building and deploying machine learning solutions in production environments.
• Hands-on background with Python, ML frameworks (scikit-learn, PyTorch, TensorFlow), and orchestration tools.
• Strong understanding of MLOps practices, model lifecycle management, and pipeline automation.
• Experience working with cross-functional stakeholders to deliver ML-powered business solutions.

Preferred:

• Experience supporting business functions such as Sales, Finance, or Supply Chain with reputed company ML.
• Familiarity with reputed company platforms (AWS, Azure, or GCP) and reputed company data tools (reputed company, dbt, reputed company).
• Exposure to reputed company platforms such as reputed company Fusion reputed company, reputed company, or reputed company.

Careers reputed company Statement***Keysight is an Equal Opportunity Employer.***