MLOps Engineer / DevOps Engineer
Chefman · Mahwah, NJ
About this role
**MLOps Engineer / DevOps Engineer** *Candidates 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 (including H-1B, OPT, STEM OPT, or any other work authorization requiring sponsorship). Applications from candidates requiring sponsorship now or in the future will not be considered.* CHEF iQ launched in 2020—an ecosystem of connected kitchen appliances that uses intelligent technology, guided experiences, and seamless integration between hardware, software, and AI. As we expand our AI capabilities, we’re building the infrastructure and platforms that will power the next generation of connected cooking experiences. We’re seeking a highly detail-oriented **MLOps / DevOps Engineer** to partner with our Machine Learning Engineer—building and maintaining cloud infrastructure, deployment pipelines, automation frameworks, and operational foundations that support AI development at scale. ## Role & 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 with the Machine Learning Engineer to establish tools, workflows, and infrastructure for successful AI development and deployment - Support **Generative AI** initiatives by building infrastructure and deployment frameworks using **AWS Bedrock**, foundation models, LLMs, and related AI services - Build and manage **Infrastructure as Code (IaC)** using **Terraform** - Implement monitoring, logging, observability, and alerting across software, infrastructure, and ML platforms - Identify opportunities to improve engineering processes, reduce manual effort, increase automation, and improve reliability - Develop and maintain **CI/CD** pipelines for rapid, reliable software and ML deployments - Optimize cloud environments for scalability, performance, availability, and cost efficiency - Support security, compliance, backup, disaster recovery, and operational best practices - Troubleshoot infrastructure, deployment, and application issues across dev/test/prod - Document architecture, deployment processes, operational procedures, and engineering standards - Contribute to best practices for DevOps, MLOps, cloud architecture, and AI operations ## Qualifications - **5+ years** of experience in MLOps, DevOps, SRE, Platform Engineering, or related roles - Strong hands-on experience with **AWS** services and cloud-native architecture - Experience building and supporting **AI/ML platforms** in AWS environments - Experience supporting AI/ML/Generative AI applications in **production** - Experience with **AWS Bedrock**, Generative AI services, foundation models, LLM-powered applications, or related AI infrastructure - Strong experience implementing **IaC with Terraform** - Experience with **Docker** and **Kubernetes** - Strong experience building and maintaining **CI/CD** pipelines and deployment automation - Experience supporting ML workflows, model deployment, monitoring, and MLOps platforms - Strong programming/scripting skills in **Python**, **Bash**, or similar - Experience with monitoring, logging, observability, and operational tooling - Strong troubleshooting, systems-thinking, and problem-solving skills - Excellent communication and cross-functional collaboration - Prov
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