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Net2Source (N2S)

MLOps Tech Lead/Architect with AWS SageMaker

dallas, TX

Check who can apply and the requirements below before continuing.

About this opportunity

Net2Source (N2S) lists this MLOps Tech Lead/Architect with AWS SageMaker opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Overview

MLOps Tech Lead/Architect with AWS SageMaker

Location: Dallas, TX (Hybrid, 3 days in the office per week) • Duration: 6-12 months

Responsibilities

Build & automate ML pipelines: design, implement, and maintain CI/CD pipelines for machine learning models, ensuring automated data ingestion, model training, testing, versioning, and deployment.

Operationalize models: collaborate with data scientists to containerize, optimize, and deploy models to production with a focus on reproducibility, scalability, and performance.

Infrastructure management: design and manage the AWS cloud infrastructure powering the MLOps platform, using IaC tools to ensure consistency and cost optimization.

Monitoring & observability: implement monitoring, alerting, and logging to track model performance, data integrity, and pipeline health in real time, addressing issues like drift.

Governance & security: enforce best practices for model and data versioning, auditability, security, and access control across the ML lifecycle.

Tooling & frameworks: develop and maintain reusable tools and frameworks to accelerate ML development and empower data science teams.

Required Qualifications

Overall 12+ years of experience with 4+ years in MLOps, ML engineering, or a related DevOps role focusing on ML workflows.

Hands-on AWS MLOps experience, proficient with SageMaker, S3, ECS, EKS, Lambda, SQS, SNS, and IAM.

Strong Python coding skills; automation experience with Terraform and GitHub Actions.

Solid understanding of MLOps/DevOps principles; hands-on with frameworks like SageMaker Pipelines, Model Registry, Weights & Bias, MLflow or Kubeflow, and orchestration tools like Airflow or Argo.

Containerization expertise with Docker; deploying with ECS/EKS.

Experience with model testing, validation, and performance monitoring; familiarity with PyTorch or TensorFlow.

Excellent communication and documentation skills; ability to collaborate with cross-functional teams.

Why Net2Source

Net2Source (N2S) is an award-winning staffing solutions company with a global footprint. We provide career coaching and talent solutions to address the current talent gap.

Equal Employment Opportunity Statement

Net2Source is an Equal Opportunity Employer. We do not discriminate based on age, disability, ethnicity, gender, gender identity or expression, religion, sexual orientation, or any other protected status. All employment decisions are made in compliance with federal, state, and local law.

Awards and Accolades

America’s Most Honored Businesses (Top 10%)

Awarded by USPAAC for Fastest Growing Business in the US

12th Fastest Growing Staffing Company in USA by Staffing Industry Analysts

Fastest 50 by NJ Biz

INC 5000 Fastest growing for 8 consecutive years

Top 100 by Dallas Business Journal

Proven Supplier of the Year by Workforce Logiq

Spirit of Alliance Award by Agile1

Best of the Best Platinum Award by Agile1

TechServe Alliance Excellence Awards

Best of the Best Gold Award by Agile1

Thanks & Regards,

Sr. Technical Recruiter

#J-18808-Ljbffr

Worksite address

dallas, TX, 75215, US

Who can apply

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