MLOPS Engineer (GCP Specialization)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer (GCP Specialization) on a long-term remote contract. Key requirements include 10+ years of experience, proficiency in Python, expertise in GCP services, and strong knowledge of ML frameworks and infrastructure-as-code.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#BigQuery #Airflow #Terraform #Monitoring #Python #Data Science #Dataflow #TensorFlow #"ETL (Extract #Transform #Load)" #Kubernetes #PySpark #Cloud #Storage #MLflow #ML (Machine Learning) #BitBucket #Docker #PyTorch #Programming #Computer Science #GitLab #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Scala #Spark (Apache Spark) #Data Engineering #Deployment
Role description
Hi,
Our client is looking for MLOps Engineer (GCP Specialization) for a long tern project in Remote, below is the detailed requirement.
Job Title : MLOps Engineer (GCP Specialization)
Location : Remote
Duration : Long term
Position Overview:
The MLOps Engineer (GCP Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (GCP) to enable the seamless development, deployment, and monitoring of machine learning models at scale. This role bridges data science and data engineering, Infrastructure, ensuring that machine learning systems are reliable, scalable, and optimized for GCP environments.
Job Description:
• Bachelor's degree in Computer Science or equivalent, with minimum 10+years of relevant experience.
• Must be Proficiency in programming languages such as Python.
• You must be expertise in GCP services, including Vertex AI, Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Cloud Storage, and Cloud Composer, Data proc or PySpark and managed Airflow.
• Strong experience with infrastructure-as-code - Terraform.
• Familiarity with containerization (Docker, GKE) and CI/CD pipelines, GitLab and Bitbucket.
• Knowledge of ML frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps tools compatible with GCP (MLflow, Kubeflow) and Gen AI RAG applications.
• Understanding of data engineering concepts, including ETL pipelines with BigQuery and Dataflow, Dataproc - Pyspark.
• Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
• Strong work ethic with good time management with ability to work with diverse teams
With Regards
Rajkumar,
Lorven Technologies, Inc.
101 Morgan Lane | Suite 209 | Plainsboro | NJ 08536
Tel: -609-799-4202
• 247 | Fax:609-918-4204
Email: raj.k@lorventech.com| Web: www.lorventech.com
Hi,
Our client is looking for MLOps Engineer (GCP Specialization) for a long tern project in Remote, below is the detailed requirement.
Job Title : MLOps Engineer (GCP Specialization)
Location : Remote
Duration : Long term
Position Overview:
The MLOps Engineer (GCP Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (GCP) to enable the seamless development, deployment, and monitoring of machine learning models at scale. This role bridges data science and data engineering, Infrastructure, ensuring that machine learning systems are reliable, scalable, and optimized for GCP environments.
Job Description:
• Bachelor's degree in Computer Science or equivalent, with minimum 10+years of relevant experience.
• Must be Proficiency in programming languages such as Python.
• You must be expertise in GCP services, including Vertex AI, Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Cloud Storage, and Cloud Composer, Data proc or PySpark and managed Airflow.
• Strong experience with infrastructure-as-code - Terraform.
• Familiarity with containerization (Docker, GKE) and CI/CD pipelines, GitLab and Bitbucket.
• Knowledge of ML frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps tools compatible with GCP (MLflow, Kubeflow) and Gen AI RAG applications.
• Understanding of data engineering concepts, including ETL pipelines with BigQuery and Dataflow, Dataproc - Pyspark.
• Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
• Strong work ethic with good time management with ability to work with diverse teams
With Regards
Rajkumar,
Lorven Technologies, Inc.
101 Morgan Lane | Suite 209 | Plainsboro | NJ 08536
Tel: -609-799-4202
• 247 | Fax:609-918-4204
Email: raj.k@lorventech.com| Web: www.lorventech.com
