ML-Ops Consultant | Looking for W2 Only

ML-Ops Consultant | Looking for W2 Only at Net2Source (N2S) ML-Ops Consultant | Looking for W2 Only at Net2Source (N2S) in La Crescenta, California Posted in about 17 hours ago.

Type:

full-time

Job Description:

Role :

ML Ops Consultant Location :

Burbank, CA (Onsite)

Position Type :

Contract Job Description Clarification:

This role requires hands-on experience building end-to-end machine learning pipelines on AWS, specifically leveraging these AWS services: SageMaker Pipelines Feature Store Model Registry Please prioritize candidates who can both speak to and demonstrate practical implementation of these AWS services as part of ML model deployment pipelines. 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. Best Regards, Bismillah Arzoo (AB)