Senior ML Ops Engineer (contract)

• 6+ years of deep ML Ops experience, with strong expertise in AWS SageMaker services. • Lead, design, and implement ML Ops infrastructure by building and maintaining scalable, secure, and automated pipelines for model and data deployment across multiple environments. • Establish and enforce ML Ops best practices that align with the client's existing infrastructure, architecture patterns, and model deployment needs. • Observability & Monitoring: Implement robust monitoring, logging, and alerting systems for deployed agents and models to ensure operational visibility, reliability, and performance. • Lifecycle Management: Oversee the full model lifecycle, including feature store/table management, model registry and governance, evaluation workflows, deployment testing, and inference. • Collaboration: Work closely with data scientists, AWS platform engineers, and product/platform teams to embed ML Ops best practices into development and deployment workflows. • Security & Compliance: Ensure all ML Ops processes adhere to security standards, data governance policies, and regulatory requirements. • Continuous Improvement: Drive automation, optimization, and modernization initiatives to enhance the efficiency, scalability, and resilience of ML Ops systems. The pay range that the employer in good faith reasonably expects to pay for this position is $69.76/hour - $109.00/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.