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Feast Jobs (NOW HIRING)

Stryker Corporation

$671 - $727/hr

... feast on San Francisco's famous cracked crab and sourdough bread. * AMN Healthcare typically arranges medical or dental malpractice insurance for the contractor providers we match to client ...

New

Spicer Rudstrom, PLLC

Associate Attorney

Chattanooga, TN · On-site

$75K - $100K/yr

Consistent, high-quality work (no "feast or famine") * A supportive team that values professionalism and balance * Real opportunity to grow as a litigator--not just push paper * Competitive ...

Full Sail Brewing Company

Line Cook

Hood River, OR

$18/hr

Develop lasting relationships, enjoy free drinks after your shift, feast on delicious food, gain skills in a restaurant kitchen all while having a fun time at work. It does not get much better than ...

Virtusa Corporation

Consultant

New York, NY · On-site

$125K - $150K/yr

... Feast, Tecton), RAG-ready chunking and embedding pipelines Mesh-specific knowing when to build a derivative product vs. extending an existing one; consuming upstream products through governed input ...

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How much do feast jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for feast in the United States is $25.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $33.17 per hour, depending on experience, location, and employer.

What is a feast?

Feast jobs typically refer to roles related to the Feast open-source feature store for machine learning. A Feast job may involve managing, developing, or maintaining the infrastructure that enables the efficient storage, retrieval, and serving of machine learning features. These positions often require knowledge of data engineering, cloud computing, and MLOps practices. Professionals working with Feast collaborate with data scientists and engineers to streamline ML workflows and ensure scalable, reliable access to feature data.

What skills and qualifications are needed to thrive as a feast coordinator?

To thrive as a Feast Coordinator, you need strong organizational skills, event planning experience, and often a background in hospitality or culinary management. Familiarity with event management software, budgeting tools, and food safety certifications is typically required. Exceptional communication, leadership, and problem-solving abilities help ensure seamless coordination among vendors, staff, and guests. These skills are crucial for delivering memorable, well-executed events that meet client expectations and comply with safety standards.

What are common challenges faced by feast event coordinators, and how can they be overcome?

Feast event coordinators often juggle multiple vendors, strict timelines, and high client expectations, which can be challenging, especially during large or themed gatherings. Effective communication, strong organizational skills, and the ability to adapt quickly to last-minute changes are essential for success. Building a reliable network of suppliers and maintaining detailed checklists can help streamline the planning process and reduce stress. Regular team meetings and feedback sessions also ensure everyone is aligned, contributing to a smooth and memorable feast event.
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Feast jobs near you
Infographic showing various Feast job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $52,920 per year, or $25.4 per hour.

4467 ML Ops Engineer with Security Clearance

Procession Systems

Chantilly, VA • On-site

Other

Posted 26 days ago

Job description

OVERVIEW: We are seeking an ML Ops Engineer to own the machine-learning lifecycle in production. You will be responsible for getting the five detection models from trained artifact to live, low-latency serving, then keeping them healthy -monitored, versioned, and retrained. Your product is the models running well in production, not the data pipeline underneath them. GENERAL DUTIES: * Model release management in MLflow - versioning, aliasing, promotion and rollback, champion/challenger across the five models. * Serving models for real-time inference - package and optimize PyTorch models, run them in the low-latency inference workers, hold the * Model and prediction monitoring with Evidently - data, concept, and prediction drift; performance decay; alerting - and closing the loop back to retraining. * Automated retraining / continuous training - Airflow pipelines that retrain (including GPU training on EKS), validate against gates, and promote new model versions safely. * Training/serving consistency - manage the Feast online/offline boundary to prevent training-serving skew. * Reproducibility and governance - experiment tracking, model lineage/provenance, and model cards / approval gates for federal AI accountability. REQUIRED QUALIFICATIONS: * Owned the full production ML lifecycle - trained artifact to live serving to be monitored/retrained. Not model-building only, and not data-pipeline-building only. * Model registry and experiment tracking - MLflow or equivalent (SageMaker, Weights & Biases, Vertex): versioning, promotion, rollback, lineage. * Model serving for real-time/low-latency inference - embedded serving or a model server (TorchServe, Triton, KServe, Seldon, BentoML): model loading, optimization, latency debugging. * Model and data drift monitoring - Evidently or equivalent; defining model-quality metrics and acting on decay. * Automated retraining / CT pipelines and model CI/CD - validation gates, champion/challenger, shadow or canary rollouts for models. * PyTorch (or TensorFlow) in production - packaging, optimizing (ONNX/quantization a plus), serving; debugging inference correctness and latency. * Feature store consumption (Feast or equivalent) with real focus on training/serving skew. * Kubernetes and Docker to package and deploy model workloads (Helm); Prometheus/Grafana for model and inference metrics. * Strong Python and solid software engineering (tests, reproducibility) - not notebook-only. DESIRED QUALIFICATIONS: * The streaming pipeline you serve models into - Kafka + Bytewax (or Flink, Spark Streaming, Kafka Streams). You integrate with it; the data engineer owns it. * Apache Airflow used specifically for ML orchestration (training, promotion, drift jobs). * GPU training/serving on Kubernetes/EKS (CUDA/NVIDIA images). * OpenShift and/or air-gapped model deployment. * AWS GovCloud / FedRAMP / FIPS 140-2 / IL4-5, and federal AI governance - model cards, provenance, OSCAL, explainable scoring. * Graph ML, autoencoders, and anomaly detection (our detection approach); security/behavioral feature work. * Model artifacts in object storage (S3/MinIO); a warehouse (Redshift or equivalent) for offline evaluation data. CLEARANCE: * Active U.S. Citizenship with the eligibility to gain a clearance
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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

Social media

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