Senior Engineer, AI​/ML Software

This role global XOps team -- which includes MLOps, LLMOps, Agent Ops and Dev Ops – whose mission is to deliver a world-class AI/ML developer experience for our software engineers and data scientists.
** Role Summary
** As a Senior MLOps Engineer (individual contributor), you will bring deep technical expertise, the ability to handle complex assignments end-to-end, and make decisions with broad impact beyond individual tasks. You will independently design and optimize complete systems, resolve technical issues via systematic analysis, and apply industry best practices and advanced methodologies for continuous improvement. You’ll lead the development of major ML/AI operational features that span multiple aspects of the ML/AI developer experience— from infrastructure to pipelines, deployment, monitoring, governance, and cost/risk optimization.
** Key Responsibilities
** Collaborate with engineering, product, science, design, security and operations teams to translate business requirements into scalable ML/AI solutions, and ensure smooth integration into production systems.
** Required Skills & Experience
** Deep understanding of the Data Science Lifecycle (DSLC) and proven ability to shepherd data science or ML/AI projects from inception through production within a platform architecture.

Experience with monitoring tools for ML/AI (latency/throughput SLAs, model drift, resource usage dashboards).

Experience with Ray for end-to-end workflows to scale data processing, modeling (training, tuning, serving); and experience with scaling RL is a nice-to-have too!

Expert in infrastructure-as-code and Git Ops practices, with demonstrable skills in Terraform, AWS CDK (Python), Argo CD and/or other IaC and CI/CD systems.

Hands-on experience managing Kubernetes clusters (for ML workloads) and designing/implementing ML workflow orchestration solutions and data pipelines (e.g., Argo, Kubeflow, Airflow). Excellent verbal and written communication skills — able to report findings, document designs, articulate trade-offs and influence cross-functional stakeholders.

Demonstrated ability to manage large-scale, complex projects across an organization, and lead development of major features with broad impact. Customer-obsessed mindset and a passion for building products that solve real-world problems, combined with high organization, diligence, and ability to juggle multiple initiatives and deadlines. Collaborative mindset: ability to foster positive team culture where creativity and innovation thrive.
* This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
* This position includes medical, vision and dental coverage, 401k, paid vacation,
** holidays, and sick time**, and other benefits.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
#J-18808-Ljbffr