TekValue IT Solutions
Data Scientist with MLOps
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with MLOps, requiring 7+ years in data science, 3+ years in MLOps, and expertise in Google Cloud Platform, Python, and ML frameworks. Contract length and pay rate are unspecified; location is also unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 10, 2025
🕒 - 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
Atlanta, GA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Python #Spark (Apache Spark) #BigQuery #Kubernetes #Deployment #ML (Machine Learning) #Version Control #Microservices #TensorFlow #Terraform #Data Science #Leadership #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Cloud #Infrastructure as Code (IaC) #PyTorch #Distributed Computing #Docker #Dataflow #Data Processing
Role description
• 7+ years of professional experience in data science and machine learning
• 3+ years of hands-on experience with MLOps and production ML systems
•
•
• Proven track record of deploying and maintaining multiple ML models in production at scale
• Deep expertise with Google Cloud Platform and Vertex AI ecosystem
• Strong experience architecting ML pipelines using Kubeflow, TFX, Vertex Pipelines, or similar Technical Skills
• Expert-level proficiency in Python and multiple ML frameworks (TensorFlow, PyTorch, JAX)
• Advanced knowledge of distributed computing and model training (Ray, Horovod, distributed TensorFlow)
• Strong understanding of containerization (Docker), Kubernetes, and microservices architecture
• Expertise in SQL, BigQuery, and distributed data processing (Dataflow, Spark)
• Experience with infrastructure as code (Terraform, Cloud Deployment Manager)
• Proficiency with version control systems and collaborative development workflows
• Leadership & Communication
• 7+ years of professional experience in data science and machine learning
• 3+ years of hands-on experience with MLOps and production ML systems
•
•
• Proven track record of deploying and maintaining multiple ML models in production at scale
• Deep expertise with Google Cloud Platform and Vertex AI ecosystem
• Strong experience architecting ML pipelines using Kubeflow, TFX, Vertex Pipelines, or similar Technical Skills
• Expert-level proficiency in Python and multiple ML frameworks (TensorFlow, PyTorch, JAX)
• Advanced knowledge of distributed computing and model training (Ray, Horovod, distributed TensorFlow)
• Strong understanding of containerization (Docker), Kubernetes, and microservices architecture
• Expertise in SQL, BigQuery, and distributed data processing (Dataflow, Spark)
• Experience with infrastructure as code (Terraform, Cloud Deployment Manager)
• Proficiency with version control systems and collaborative development workflows
• Leadership & Communication
