Senior Manger of AI / ML Ops

Division : Information Technology

Employment Status : Exempt

Salary Grade : 111

Shift

Requisition ID : 76164

Please be aware that if you are selected to formally interview for an internal position you will be required to notify your current manager. Please refer to the Employee Transfers Guidelines posted on Skylink.

Description

Seeking a passionate, hands on technical AI / ML experienced engineer to join our growing team and solve exciting engineering problems in the semiconductor space. This position will work closely with multidisciplinary teams, product managers, Data engineers, data scientists, and business stakeholders to bring AI solutions to production.

Responsibilities

• Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring.
• Lead the implementation of containerized ML workloads using Kubernetes.
• Design and Develop ML Models for high impact engineering solutions. Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute.
• Automate model lifecycle management including versioning, rollback, and performance tracking.
• Ensure high availability, security, and compliance of ML systems.
• Develop infrastructure as code using tools like Terraform or Helm.
• Establish and enforce best practices for model governance and reproducibility.
• Lead and mentor a team of AI / ML engineers and ML operations specialists, fostering a collaborative and innovative environment.
• Design, implement, and maintain scalable and reliable machine learning infrastructure and pipelines.
• Establish best practices for model development, deployment, monitoring, and lifecycle management.
• Collaborate with data scientists and engineers to productionize ML models.
• Manage and optimize cloud and on-premises resources for efficient training, serving, and experimentation of machine learning models.
• Ensure compliance with data privacy, security, and ethical standards in all AI / ML operations.
• Automate processes for continuous integration and deployment (CI / CD) of machine learning models.
• Drive adoption of MLOps tools and technologies, championing innovation and efficiency.
• Develop documentation, training programs, and onboarding resources for new team members and stakeholders.
• Establish metrics and KPIs to measure the quality and impact of AI / ML models in production environments.
• Stay current with industry trends, research, and emerging technologies, integrating relevant advances into operational practices.

Required Experience And Skills

Desired Experience And Skills

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Skills Required

Neural Networks, reinforcement learning, Tensorflow, Bash Scripting, Numpy, Pytorch, Docker, Terraform, Python, Hadoop, Sql, Git, Gcp, Pandas, MLops, Spark, Databricks, DataFlow, Helm, Azure, Kubernetes