Role Overview
The MLOps Engineer / DevOps Engineer at Chefman in Mahwah, New Jersey, is responsible for building and maintaining cloud infrastructure, automation frameworks, and deployment pipelines that support AI development at scale. This position is well-suited for professionals with a strong background in platform engineering who want to enable rapid innovation in connected cooking technology.
Key Responsibilities
Design, implement, and maintain scalable AWS cloud infrastructure supporting software, AI, and machine learning applications.
Create and manage MLOps infrastructure for model training, deployment, monitoring, versioning, and lifecycle management.
Partner closely with the Machine Learning Engineer to establish tools, workflows, and infrastructure for successful AI development.
Support Generative AI initiatives by building infrastructure and deployment frameworks utilizing AWS Bedrock, foundation models, and LLMs.
Build and manage Infrastructure as Code using Terraform to ensure repeatable, secure, and scalable environments.
Implement monitoring, logging, observability, and alerting systems across software, infrastructure, and machine learning platforms.
Continuously identify opportunities to improve engineering processes, reduce manual effort, and increase automation.
Develop and maintain CI/CD pipelines that enable rapid, reliable software and machine learning deployments.
Optimize cloud environments for scalability, performance, availability, and cost efficiency.
Support security, compliance, backup, disaster recovery, and operational best practices across all environments.
Troubleshoot infrastructure, deployment, and application issues across development, testing, and production.
Document infrastructure architecture, deployment processes, operational procedures, and engineering standards.
Requirements
Minimum of 5 years of experience in MLOps, DevOps, Site Reliability Engineering, Platform Engineering, or related software engineering roles.
Strong hands-on experience with AWS services and cloud-native architecture.
Experience building and supporting AI and machine learning platforms in AWS environments.
Experience supporting AI, machine learning, and Generative AI applications in production.
Experience working with AWS Bedrock, Generative AI services, foundation models, or LLM-powered applications.
Strong experience implementing Infrastructure as Code using Terraform.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Strong experience building and maintaining CI/CD pipelines and deployment automation.
Experience supporting machine learning workflows, model deployment, monitoring, and MLOps platforms.
Strong programming and scripting skills in Python, Bash, or similar languages.
Experience with monitoring, logging, observability, and operational tooling.
Strong troubleshooting, systems-thinking, and problem-solving abilities.
Excellent communication and cross-functional collaboration skills.
Nice to Have
Experience with vector databases, retrieval-augmented generation (RAG), model serving, and AI infrastructure.
Experience supporting connected devices, IoT platforms, embedded systems, or consumer technology products.
Domain expertise in machine learning infrastructure, AI platforms, consumer applications, or connected products.
Experience working in fast-paced startup or high-growth product organizations.
Skills and Tools
Python
AWS (including AWS Bedrock)
Kubernetes
Docker
LLM and Generative AI services
Computer Vision
RAG
MLOps platforms
Terraform
CI/CD pipelines
Salary and Benefits
Salary Range: $115,000 to $150,000 USD (commensurate with experience).
About the Company
Chefman launched CHEF iQ in 2020, offering an ecosystem of connected kitchen appliances designed to transform how people cook and connect through food. The company mission focuses on making great cooking effortless through intelligent technology, guided experiences, and seamless integration between hardware, software, and AI.
How to Apply
Interested candidates should visit the official Chefman careers page to apply for this position. Please note that applicants must be legally authorized to work in the United States on a permanent and ongoing basis without the need for current or future employer-sponsored visa support.
