VBeyond Corporation
SRE – ML Platform
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an SRE – ML Platform, requiring 6+ years in ML Ops with expertise in Kubernetes, Python, MongoDB, and AWS. Contract length is unspecified, with onsite work in Austin, TX, or Sunnyvale, CA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 14, 2026
🕒 - 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
Austin, TX
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🧠 - Skills detailed
#Microservices #GCP (Google Cloud Platform) #Automation #Data Science #Linux #ML (Machine Learning) #Azure #MongoDB #Cloud #Python #Kubernetes #ML Ops (Machine Learning Operations) #AWS (Amazon Web Services)
Role description
For this role, we are looking for ML Ops Engineer with Kubernetes and Python.
Austin, TX and Sunnyvale, CA (Onsite)
Experience Required:
• 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS.
Technical skills:
• Python, Kubernetes, Mongo DB, Microservices, AWS
• SOLR
• ML operations, CI CD pipelines, LLM
• Good understanding of Apache SOLR
• Proficient with Linux administration.
• Knowledge of ML models and LLM.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP).
Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.
For this role, we are looking for ML Ops Engineer with Kubernetes and Python.
Austin, TX and Sunnyvale, CA (Onsite)
Experience Required:
• 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS.
Technical skills:
• Python, Kubernetes, Mongo DB, Microservices, AWS
• SOLR
• ML operations, CI CD pipelines, LLM
• Good understanding of Apache SOLR
• Proficient with Linux administration.
• Knowledge of ML models and LLM.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP).
Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.
