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 Learn more about what we do 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 believe that when people feel a sense of belonging they can be more creative innovative and thrive at all points in their careers We are seeking an Expert Machine Learning Engineerto architect lead and scale enterprise-grade machine learning solutions that drive strategic decision-making across Sales Service Finance Order Fulfillment and Supply Chain This role demands deep technical expertise in ML AI a strong grasp of business operations and a proven ability to lead cross-functional initiatives from ideation to production You will serve as a thought leader mentor and hands-on contributor shaping the future of intelligent systems across the organization Responsibilities ML Architecture Strategy Innovation Define and drive the ML strategy across business domains identifying high-impact opportunities for automation optimization and prediction Architect scalable ML systems and reusable frameworks that support real-time inference batch processing and continuous learning Lead the evaluation and adoption of cutting-edge ML techniques e g foundation models causal inference reinforcement learning to solve complex business problems End-to-End ML Lifecycle Ownership Lead the design development and deployment of advanced supervised and unsupervised models for use cases such as churn prediction demand forecasting fraud detection and dynamic pricing Own the full ML lifecycle from problem framing and data exploration to model training validation deployment and monitoring Champion best practices in experimentation reproducibility and responsible AI Cross-Functional Leadership Business Impact Partner with senior stakeholders across Sales Customer Service Finance Supply Chain and Fulfillment to define and prioritize ML initiatives aligned with strategic goals Translate ambiguous business challenges into well-scoped ML solutions with measurable ROI Serve as a technical advisor to executive leadership on AI ML trends risks and opportunities MLOps Governance Infrastructure Lead the design and implementation of robust MLOps pipelines using tools like DataRobot Ensure scalable secure and compliant deployment of models in cloud-native environments AWS Azure GCP Establish governance frameworks for model versioning monitoring retraining and auditability Data Engineering Feature Platform Design Collaborate with data engineering teams to define and evolve enterprise-wide feature stores data contracts and real-time data pipelines Drive innovation in feature engineering leveraging domain knowledge and advanced statistical techniques Mentorship Collaboration Thought Leadership Mentor junior ML engineers and data scientists fostering a culture of technical excellence and continuous learning Contribute to internal knowledge sharing technical design reviews and ML community engagement Publish whitepapers present at conferences or lead internal workshops on emerging ML technologies Qualifications Required 8-10 years of experience in machine learning product management AI engineering or applied data science with a strong foundation in software engineering Proven experience deploying and scaling ML models in production environments using modern MLOps practices Deep understanding of cloud ML platform capabilities DataRobot is preferred Solid communication skills with the ability to influence technical and non-technical stakeholders Preferred Experience leading ML initiatives in enterprise domains such as Finance Sales or Supply Chain Familiarity with advanced ML techniques e g transformers graph neural networks time series forecasting causal modeling Exposure to enterprise platforms such as Salesforce Oracle Graduate degree MS or PhD in Computer Science Machine Learning Statistics or a related field Careers Privacy StatementKeysight is an Equal Opportunity Employer

📌 Expert Machine Learning Engineer, Data And Analytics (Karnataka)
🏢 Keysight Technologies
📍 Karnataka