MLOps Engineer: Build Scalable ML Pipelines

BizFirst; Alexandria (VA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Family health care

Family dental

Family vision

Performance bonuses

Lifetime event bonuses

Profit-sharing

Unlimited leave

401k match

Training budget

Job summary

BizFirst is seeking an MLOps Engineer to build and operate the infrastructure, tooling, and processes that keep ML models running reliably in production. This foundational role sits at the intersection of data engineering, platform engineering, and applied ML—enabling data scientists and ML engineers to move faster and ship with confidence.

You will own CI/CD for ML, manage dockerized workloads, collaborate with data scientists, and implement monitoring and incident response for production

Qualifications

• 4–8 years in MLOps/DevOps or platform engineering with ML workload responsibility.
• Proficiency with Docker, Kubernetes, and cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Hands-on with orchestration tools such as Airflow, Prefect, Kubeflow Pipelines.
• Experience with ML tooling such as MLflow or Weights & Biases for tracking and registry.
• Strong Python skills and infrastructure-as-code (Terraform, Pulumi, or CloudFormation).

Responsibilities

• Design, build, and maintain end-to-end ML pipelines from data ingestion to deployment.
• Implement and manage CI/CD workflows for ML models from experimentation to production.
• Own the model registry, versioning, and experiment tracking infrastructure.
• Build monitoring and alerting for drift, data quality, and performance.
• Manage containerized ML workloads with Docker and Kubernetes, including resource allocation.
• Collaborate with data scientists to align infra needs and reduce friction.
• Evaluate and adopt MLOps tools to mature operational practices.
• Develop runbooks, docs, and incident response for production ML systems.

Skills

MLOps

DevOps

Platform engineering

Data engineering

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Docker

Kubernetes

Airflow

Prefect

Kubeflow Pipelines

MLflow

Weights & Biases

Terraform

Pulumi

CloudFormation

Job description

BizFirst is seeking an MLOps Engineer to build and operate the infrastructure, tooling, and processes that keep ML models running reliably in production. This foundational role sits at the intersection of data engineering, platform engineering, and applied ML—enabling data scientists and ML engineers to move faster and ship with confidence.

You will own CI/CD for ML, manage dockerized workloads, collaborate with data scientists, and implement monitoring and incident response for production