One of our staffing partners is looking for its Financial client a Devops ML engineer
Experience of 2-3 years. Not looking for senior programmers due to low pay
Salary offered $55-75k per year
Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.
- A DevOps professional with machine learning expertise support the full lifecycle of ML systems by combining infrastructure engineering, automation, and model‑deployment skills to ensure that machine‑learning applications run reliably, efficiently, and at scale. This role focuses on building CI/CD pipelines for ML workflows, automating model training and deployment, and maintaining cloud‑based environments that support data ingestion, feature engineering, experimentation, and real‑time inference.Strong understanding of DevOps principles, CI/CD, and infrastructure‑as‑code.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with ML lifecycle tools such as MLflow, Kubeflow, Airflow, or DVC.
- Proficiency in Python and comfort with ML libraries and model‑serving frameworks.
- Knowledge of cloud platforms, distributed systems, and monitoring tools.
- Ability to troubleshoot performance issues across data pipelines, models, and infrastructure.
