AI Engineer, Business Operations
$135,000–$160,000 year
On-siteParamus, New Jersey, United States
Job Summary
Productionize AI/ML models into scalable services with APIs, batch, and streaming inference using Python, Airflow, and orchestration frameworks. Collaborate with AI Scientists to convert research prototypes into production components and integrate them with data pipelines for seamless end-to-end flow. Build and maintain inference pipelines, implementing CI/CD, containerization, and automated testing to ensure safe deployments. Establish monitoring for system metrics and data drift while optimizing latency, throughput, and cost through packaging and scaling policies. Partner with business operations to transform manual workflows into AI-enabled services that drive operational decision-making.
Required Qualifications
- Bachelor's degree or higher in Computer Science, Engineering, or related technical field
- 3+ years of software engineering experience, including building or deploying AI systems in production environments
- Strong proficiency in Python for services, pipelines, and ML tooling
- Experience deploying AI models in production across on-prem or cloud environments (AWS or Azure)
- Experience with big-data and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines
- Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control
- Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performance-oriented inference tooling
- Candidates must be authorized to work in the United States without current or future employer sponsorship
Desired Qualifications
- While not required, an interest in or exposure to MLOps practices is strongly preferred
- Master's degree or higher in a relevant field
- Experience in regulated industries (e.g., biopharma, healthcare, and finance)
- A portfolio of launched AI/ML projects or contributions to production of AI systems
- Proficiency in SQL and familiarity with modern data warehouses such as Snowflake
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