Jobs via Dice

MLOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer in Scottsdale, AZ, offering a contract position for over 6 months at a competitive pay rate. Key skills include Python, ML frameworks (TensorFlow, PyTorch), MLOps tools, and AWS experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Scottsdale, AZ
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🧠 - Skills detailed
#Data Ingestion #TensorFlow #Cloud #Compliance #Scala #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Model Deployment #PyTorch #MLflow #GitLab #SageMaker #Data Pipeline #Python #Security #ML (Machine Learning) #Data Science #Data Engineering #DBA (Database Administrator) #Azure #Deployment #GitHub #Airflow #Programming #Jenkins #Automation #Monitoring
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TESTINGXPERTS, INC. DBA DAMCOSOFT, is seeking the following. Apply via Dice today! Hello, My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website . If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position Role : MLOps Engineer Location : Scottsdale AZ (100% Onsite) Hire Type : Contract / Full time No of roles - 7 MLOps Engineer Role Overview We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance. Key Responsibilities • Design and implement end-to-end ML pipelines from data ingestion to model deployment • Build and manage CI/CD pipelines for ML models (training, testing, deployment) • Automate model monitoring, retraining, and performance optimization • Collaborate with Data Scientists and Data Engineers for productionizing ML models • Ensure scalability, reliability, and security of ML systems • Manage model versioning, experiment tracking, and lifecycle management • Implement best practices for governance, compliance, and reproducibility Key Skills & Expertise • Strong programming skills in Python • Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn • Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML • Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI • Experience with cloud platforms: AWS • Strong understanding of data pipelines, ETL processes, and distributed systems