

ML Senior Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Senior Engineer in Sunnyvale, CA, lasting 6 months+, requiring 7+ years of experience. Key skills include Python, ML frameworks, CI/CD, Kubernetes, and cloud-native architectures. Local candidates preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 1, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Sunnyvale, CA
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π§ - Skills detailed
#Security #Airflow #GCP (Google Cloud Platform) #Data Encryption #ML (Machine Learning) #Cloud #Observability #TensorFlow #Ansible #Spark (Apache Spark) #Distributed Computing #Kubernetes #Monitoring #Docker #Terraform #DevOps #Python #MLflow #Consulting #Deployment #PyTorch #Azure #API (Application Programming Interface)
Role description
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Contact Details:
1.Seema Singh
Email: seema.singh@peer-consulting.com
Cell: +17322905481
Job Title: ML Senior Engineer
Location: Sunnyvale, CA
Duration: 6 Months+
Years of Experience: 7+ Yrs.
Required Hours/Week: 40hrs./Week
Notes:
β’ Need Local Candidates
Technical Skills:
Must have:
β’ Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
β’ 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 Azure), monitoring and observability for ML workloads
β’ Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX.
Nice to have:
β’ Experience with distributed computing frameworks (e.g., Spark, Ray, Dask) is a plus.
β’ Familiarity with model explain ability, fairness, and bias detection tools is highly desirable.
β’ Strong knowledge of security best practices for ML systems, including data encryption, API security, and governance.