VBeyond Corporation
MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer with 4-8 years of experience in the BFS/Investment Management industry. It requires a PhD or MS in Computer Science or Statistics, expertise in machine learning, and strong proficiency in Python and AWS. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Python #Lambda (AWS Lambda) #DynamoDB #Redshift #Scala #IAM (Identity and Access Management) #ML (Machine Learning) #ML Ops (Machine Learning Operations) #AI (Artificial Intelligence) #SageMaker #EC2 #Flask #S3 (Amazon Simple Storage Service) #Statistics #Cloud #API (Application Programming Interface) #Computer Science
Role description
• 4-8 years’ experience of applied machine learning/ML Ops in BFS / Investment Management industry
• PhD or MS in Computer Science, Statistics or related field
• Expertise in Machine Learning algorithms and frameworks:
· Training and tuning pre-trained models
· Working with structured and unstructured for Fraud models
• Deep proficiency in Python with experience developing production-quality Python modules
• Strong domain focus on fine-tuning and enhancing fraud detection models
• Deploying models in AWS production environments
• Strong command on AWS cloud stack with working knowledge of architecture components i.e., SageMaker, Bedrock, Lambda, Lex, CloudWatch, CloudTrail, Redshift ML, DynamoDB, CodeBuild, CodeDeploy, S3, EC2, IAM, AMIs
• Proficient in API development using Fast API, Flask, etc. delivering asynchronous AI inference services and scalable API solutions for AI-powered applications.
Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.
• 4-8 years’ experience of applied machine learning/ML Ops in BFS / Investment Management industry
• PhD or MS in Computer Science, Statistics or related field
• Expertise in Machine Learning algorithms and frameworks:
· Training and tuning pre-trained models
· Working with structured and unstructured for Fraud models
• Deep proficiency in Python with experience developing production-quality Python modules
• Strong domain focus on fine-tuning and enhancing fraud detection models
• Deploying models in AWS production environments
• Strong command on AWS cloud stack with working knowledge of architecture components i.e., SageMaker, Bedrock, Lambda, Lex, CloudWatch, CloudTrail, Redshift ML, DynamoDB, CodeBuild, CodeDeploy, S3, EC2, IAM, AMIs
• Proficient in API development using Fast API, Flask, etc. delivering asynchronous AI inference services and scalable API solutions for AI-powered applications.
Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.
