Net2Source Inc.
Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer (MLOps Lead) in Dallas, TX, with a contract length of "unknown." The pay rate is "unknown." Candidates need 10+ years of experience, including 4+ years in MLOps, strong Python skills, and expertise in AWS services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 2, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#AWS (Amazon Web Services) #GitHub #TensorFlow #Monitoring #Documentation #Python #DevOps #Automation #Lambda (AWS Lambda) #PyTorch #S3 (Amazon Simple Storage Service) #Infrastructure as Code (IaC) #ML (Machine Learning) #Docker #SageMaker #Terraform
Role description
Title- MLOps Lead
Location- Dallas TX
Required Skills:
• Overall 10+ years of experience with 4+ years of experience in MLOps, Machine Learning Engineering, or a related DevOps role with a focus on ML workflows
• Extensive hands-on experience in designing and implementing MLOps solutions on AWS. Proficient with core services like SageMaker, S3, ECS, EKS, Lambda
• Strong coding proficiency in Python. Extensive experience with automation tools, including Terraform for IaC and GitHub Actions.
• A solid understanding of MLOps and DevOps principles. Hands-on experience with MLOps frameworks like Sagemaker Pipelines, Model Registry, Weights.
• Expertise in developing and deploying containerized applications using Docker and orchestrating them with ECS and EKS.
• Experience with model testing, validation, and performance monitoring.
• Good understanding of ML frameworks like PyTorch or TensorFlow is required .
• Excellent communication and documentation skills, with a proven ability to collaborate with cross-functional teams.
Title- MLOps Lead
Location- Dallas TX
Required Skills:
• Overall 10+ years of experience with 4+ years of experience in MLOps, Machine Learning Engineering, or a related DevOps role with a focus on ML workflows
• Extensive hands-on experience in designing and implementing MLOps solutions on AWS. Proficient with core services like SageMaker, S3, ECS, EKS, Lambda
• Strong coding proficiency in Python. Extensive experience with automation tools, including Terraform for IaC and GitHub Actions.
• A solid understanding of MLOps and DevOps principles. Hands-on experience with MLOps frameworks like Sagemaker Pipelines, Model Registry, Weights.
• Expertise in developing and deploying containerized applications using Docker and orchestrating them with ECS and EKS.
• Experience with model testing, validation, and performance monitoring.
• Good understanding of ML frameworks like PyTorch or TensorFlow is required .
• Excellent communication and documentation skills, with a proven ability to collaborate with cross-functional teams.
