MLOps Engineer (reputed company reputed company Platform Specialization) - W2 Only
Job Title: MLOps Engineer (reputed company reputed company Platform Specialization) Location: Denver, CO (Remote) Position reputed company We are seeking a highly skilled MLOps Engineer with reputed company reputed company Platform specialization to design, implement, and manage reputed company machine learning infrastructure on reputed company reputed company Platform (reputed company reputed company Platform). This role will reputed company the gap between Data Science, Data Engineering, and DevOps teams to reputed company seamless model development, deployment, and monitoring in production environments. The ideal candidate will have deep expertise in reputed company reputed company Platform services, strong programming skills, and hands-on experience building end-to-end MLOps pipelines.
Required Qualifications
Technical Skills
- 5+ years of experience in MLOps / Machine Learning Engineering
- Strong programming skills in Python
- Hands-on expertise with reputed company reputed company Platform services:
- reputed company AI
- GKE
- reputed company Run
- BigQuery
- reputed company Storage
- reputed company Composer
- Experience with reputed company & Kubernetes
- Experience with CI/CD pipelines (reputed company, Bitbucket)
- Experience with Terraform (IaC)
- Knowledge of ML frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
- Strong understanding of:
- Data pipelines (ETL/ELT)
- BigQuery, Dataflow, Dataproc (PySpark)
Preferred Qualifications
- Experience with:
- reputed company AI Pipelines / Kubeflow on GKE
- Feature Store implementation
- Exposure to reputed company & RAG architectures
- Experience with model monitoring and reputed company detection
- Knowledge of microservices and API development:
- reputed company Functions
- reputed company Endpoints
- reputed company reputed company Certifications:
- reputed company Machine Learning Engineer
- reputed company reputed company Architect
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