Lovefoodies Inc
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with expertise in Python and ML frameworks, strong experience in CI/CD, Kubernetes, and cloud-native architectures. Contract length exceeds 6 months, with pay starting at $30.00 per hour.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
240
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🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
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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
Fremont, CA 94555
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🧠 - Skills detailed
#Deployment #Ansible #SQL (Structured Query Language) #Distributed Computing #Python #Airflow #Data Encryption #Monitoring #Observability #PyTorch #Security #TensorFlow #ML (Machine Learning) #Docker #Kubernetes #API (Application Programming Interface) #Cloud #MLflow #GCP (Google Cloud Platform) #Terraform #Spark (Apache Spark) #DevOps
Role description
Job Title- ML senior engineer
Must have: Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.).
and cloud-native architectures (GCP and Aruze), monitoring and observability for ML workloads Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX.Nice to have: Experience with distributed computing frameworks (e.g., Spark, Ray, Dask) is a plus. Familiarity with model explainability, fairness, and bias detection tools is highly desirable. Strong knowledge of security best practices for ML systems, including data encryption, API security, and governance.
Job Types: Full-time, Contract, Internship
Pay: From $30.00 per hour
Benefits:
401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: In person
Job Title- ML senior engineer
Must have: Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.).
and cloud-native architectures (GCP and Aruze), monitoring and observability for ML workloads Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX.Nice to have: Experience with distributed computing frameworks (e.g., Spark, Ray, Dask) is a plus. Familiarity with model explainability, fairness, and bias detection tools is highly desirable. Strong knowledge of security best practices for ML systems, including data encryption, API security, and governance.
Job Types: Full-time, Contract, Internship
Pay: From $30.00 per hour
Benefits:
401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: In person
