136 ml ops engineer jobs at 99 companies in United States
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
4+ YOE4+ years in MLOps/ML Engineering/DevOps, strong Python, Apache Airflow, MLflow, AWS (Batch, EC2, S3, IAM, CloudWatch), Docker, Git, SQL/Snowflake, monitoring/alerting, CI/CD, IaC, and experience with production ML lifecycle and healthcare security (HIPAA/SOC 2) preferred.
HD Supply: Wholesale distributor of maintenance, repair, and operations products.
7+ YOERequires experience building and deploying ML models and ML Ops pipelines, cloud deployment (GCP/AWS/Azure), Snowflake/Big query and SQL expertise, GenAI experience; BS/BA typically required with 10+ years or MS/MA with 7+ years.
GCP, AWS, Azure, Snowflake, Big query, SQL, Kubernetes, docker, Generative AI (GenAI)
Confido: AI financial operations software for consumer packaged goods brands.
5+ YOE5+ years building production ML/ML platform systems, strong Python and cloud infrastructure skills, experience with IaC and CI/CD, productionizing models and agentic workloads, and ownership of reliability/observability.
LiveView Technologies: Provides mobile, solar-powered security units with AI-driven surveillance software.
8+ YOE8+ years in ML-infrastructure/MLOps building and operating model deployment, serving, CI/CD, monitoring, and LLM/VLM ops; strong API design and technical leadership; BS/MS in CS/Engineering or equivalent experience.
Mimecast: Provides cloud-based email security and cyber resilience solutions.
Senior ML Ops engineer with strong AWS, SageMaker, Python/Java, Terraform, Docker/Kubernetes; experience with CI/CD, observability, autoscaling, and multi-region deployments; knowledge of ML lifecycle, model serving, and AI tooling.
LMI: Delivers management, technology, and analytics solutions for federal agencies.
3+ YOEBachelor’s in CS/DS/Software Eng; 3+ years ML engineering with MLOps; experience with data pipelines, Python, ML frameworks, containerization, CI/CD; production ML deployment; active Secret clearance.
CoStar GroupNASDAQ: CSGP: Global provider of commercial and residential real estate data.
3+ YOEBachelor's or equivalent experience, 3+ years ML engineering focused on model optimization/deployment, proficiency in Python, ML frameworks (TensorFlow/PyTorch), cloud (AWS/Azure/GCP), Git, and strong communication.
LMI: Provides management consulting and digital solutions to federal government agencies.
3+ YOEBachelor's in CS/Data Science/Software Eng; 3+ years ML engineering with MLOps; experience with Pandas/PySpark; ML tools; Python; Docker/Kubernetes; Agile/CI/CD; active secret clearance.
Corvus Robotics: Fully autonomous drones for automated warehouse inventory management.
2+ YOE2-3 years building production ML infrastructure; experience with distributed data pipelines; understanding data flow from raw to trained models; ability to build from scratch or contribute to infra; thrive in ambiguous startup environment.
Kubeflow, SLURM, S3, data pipelines, distributed training
BlackLineNASDAQ: BL: Provides cloud software to automate financial close and accounting.
2+ YOE2+ years programming (Python/Java/Scala); expertise in ML frameworks and orchestration; production ML/LLM pipeline experience across GCP/AWS/Azure; LangChain/LangGraph/ADK familiarity; CI/CD, IaC, DevSecOps, observability, containerization skills.
Photon: A digital services delivering enterprise digital experiences and modernization solutions.
Design, implement, deploy, monitor, and optimize scalable ML systems; hands-on with Java, Python, TensorFlow/PyTorch; containerization (Docker, Kubernetes); CI/CD and Terraform; prompt engineering and model optimization experience preferred.
MGM Resorts InternationalNYSE: MGM: Operates destination resorts, luxury hotels, casinos, and global entertainment venues.
5+ YOE5+ years in ML/AI engineering or analytics; Bachelor's in CS/Data Engineering; strong Python and PySpark; CI/CD for ML; cloud platforms; Docker/Kubernetes; Airflow/Kubeflow/MLflow; Git/DVC; security and governance.
TextUs: Cloud-based text messaging platform for business communication and engagement.
6+ YOE6+ years engineering experience with 3+ years in ML platform/ML Ops or applied ML; strong LLM and Python skills; Ruby on Rails familiarity; cloud-native (AWS), containers, IaC expertise; on-call experience and strong communication.
Claude Code, Python, Ruby on Rails, AWS, Containers, Infrastructure as Code (IaC), LLM
SpendHQ: Provides enterprise procurement intelligence and performance management software.
5+ YOE5+ years in ML engineering or data/AI roles; strong Python; AWS; Snowflake/Snowpark; NLP/classification models; ML Ops; multi-tenant SaaS experience.