Overview
On Site
$DOE
Accepts corp to corp applications
Skills
kubernetes
monitoring
MLOps
GPU
logging
Job Details
Job Role - MLOPS Engineer
Exp - 5-8 Years
Location - Austin, TX
Primary Skill: MLOPs, GPU, GPU configuration, Kubernetes , logging and Monitoring
Requirements:
- 3+ years of experience in ML Engineering, DevOps, or Infrastructure Engineering with a focus on ML workflows.
- Proficiency with cloud platforms (AWS, Google Cloud Platform, Azure) and orchestration tools (Kubernetes, Airflow, etc.).
- Experience with MLOps frameworks such as MLflow, Kubeflow, Metaflow, or SageMaker.
- Strong coding skills in Python and experience with infrastructure-as-code tools (e.g., Terraform, Helm).
- Solid understanding of CI/CD practices and monitoring tools (e.g., Prometheus, Grafana, Datadog).
Nice to Have:
- Experience deploying real-time inference services and batch prediction pipelines.
- Familiarity with model explainability, fairness, and responsible AI practices.
- Exposure to feature stores (e.g., Feast, Tecton) and experiment tracking platforms.
Accliive, is an IT Consulting Company working with Fortune 500 clients and is based out of Boston, MA. Accliive works extensively in all the major industries like BFSI, Oil and Gas, Utilities, Healthcare and many more. Acclive is focused on providing customer centric solutions and career centric solutions.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.