TekValue IT Solutions
Data Scientist with MLOps
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist with MLOps for a 6-month contract, offering a competitive pay rate. Candidates require 7+ years in data science, 3+ years in MLOps, expertise in GCP, and proficiency in Python, SQL, and ML frameworks.
🌎 - 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
#Leadership #ML (Machine Learning) #AI (Artificial Intelligence) #Python #Docker #Terraform #Cloud #TensorFlow #Data Processing #Infrastructure as Code (IaC) #Spark (Apache Spark) #SQL (Structured Query Language) #Version Control #PyTorch #Data Science #Deployment #Distributed Computing #Microservices #GCP (Google Cloud Platform) #Kubernetes #BigQuery #Dataflow
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
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•
• 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
