Top 6059 Operations engineer tier Jobs

LLM Operations Engineer
Health Business Solutions LLC —Remote
- Remote
- Computer science
- Computer Science
- Bachelor of Science
Network Engineer Manager
Logix Fiber Networks —Houston, TX
- Full-time
- Hybrid work
- Microsoft Excel
- Microsoft Outlook
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Plant Engineer - Small
Smithfield Foods —Mason City, IA
- Weekends as needed
- Ability to walk for extended periods
- Ability to lift 50 pounds
- Senior level
Hotel Maintenance Engineer
Hilton Garden Inn Tulsa Midtown —Tulsa, OK
- $14 - $17 an hour
- Full-time
- Schematics
- Maintenance
- Mid-level
- Dental insurance
- Paid time off
Quick Apply
Sr. Applications Support Engineer
Cardone Enterprises Inc —Aventura, FL
- $120,000 - $145,000 a year
- Email
- Spanish
- Google Workspace
- HIPAA
- Paid holidays
- Health insurance
Quick Apply
Installation Project Manager
Xirgo Technologies —Rolling Meadows, IL
- $85,000 - $95,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Quick Apply
Unified Communications Engineer - Senior
Amentum —Warrenton, VA
- $155,000 - $175,000 a year
- Full-time
- 8 years
- Bachelor's degree
- Team management
- Health savings account
- Relocation assistance
Quick Apply
ENVIRONMENTAL ENGINEER III
STANLEY ELECTRIC US CO INC —London, OH
- $85,000 - $100,000 a year
- Overtime
- Office
- Analysis skills
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
Tool Designer
LMT Defense —Eldridge, IA
- $50,000 - $80,000 a year
- Full-time
- Background check
- CAD
- Engineering
- Health savings account
- Health insurance
Quick Apply
Quality Engineer
American HOWA Kentucky —Delaware, OH
- From $45,000 a year
- Extended hours
- Background check
- Ability to walk for extended periods
- Mid-level
- Health savings account
- Health insurance
Quick Apply
5d
Operational Excellence Engineer
Piramal Pharma Solutions —Lexington, KY
- Full-time
- Engineering
- 3 years
- Master's degree
Quick Apply
Tier 3 Engineer
Proven Business Systems LLC —Schaumburg, IL
- $75,000 - $100,000 a year
- Full-time
- Computer science
- 7 years
- Azure
- Paid parental leave
- Health savings account
Senior Product Design Electrical Engineer, Data Center Engineering - Electrical Products and Services (DCE-EPS)
Amazon Data Services, Inc. —Herndon, VA
- $136,600 - $184,800 a year
- Full-time
- Engineering
- Travel
- Senior level
- AD&D insurance
- Health insurance
8d
Telecom Network Senior Engineer
Unity Technologies Corporation —Columbus, OH
- $120,000 - $130,000 a year
- Full-time
- Master's degree
- 8 years
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
11d
Application Engineer - Material Handling Automation Systems
SI Systems —Easton, PA
- Full-time
- Background check
- Mid-level
- 3 years
- Health savings account
- Health insurance
Quick Apply
Data centre Site Operations Leader
DigipowerX —Columbiana, AL
- $60 - $100 an hour
- Full-time
- 5 years
- Continuous improvement
- In-person
Quick Apply
5d
Estimator/Project Manager
Virginia Equipment & Development, Inc. (VED Civil) —Chesapeake, VA
- $100,000 - $175,000 a year
- Full-time
- Background check
- 7 years
- Office
- Paid holidays
- Health insurance
Quick Apply
8d
Manager Structural Design
Liebherr Mining Equipment Newport News Co. —Newport News, VA
- $157,000 - $188,000 a year
- Online Application
- Management
- Schematics
- Bachelor of Science
- Health insurance
- Dental insurance
Run Plant Engineer
Rio Tinto —Bessemer City, NC
- Bachelor of Science
- Public speaking
- Mid-level
- Paid holidays
- Health insurance
Autonomy System Architect
Liebherr Mining Equipment Newport News Co. —Newport News, VA
- $121,000 - $148,000 a year
- Online Application
- Bachelor of Science
- Engineering
- Continuous improvement
- Health insurance
- Dental insurance

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LLM Operations Engineer

Health Business Solutions LLC -
Remote

Apply Now

Job Details

Qualifications

AI models
Data integrity assurance
Databricks
Data validation techniques
Spark
AI platforms (beyond public GPTs)
SQL
Machine intelligence
Data quality monitoring
Data-driven problem-solving
DevOps automation
Batch data processing
Python
MLOps
Database software proficiency

Full Job Description

We are looking for an LLM Ops Engineer with deep Databricks experience to build, automate, and scale our machine learning delivery pipelines on the Lakehouse. You’ll own the model lifecycle end‑to‑end—from data ingestion and feature engineering to CI/CD, deployment, monitoring, and governance—ensuring our ML systems are reliable, auditable, secure, and cost‑efficient.

You will partner closely with Leadership, Data Engineers, and subject matter experts to productionize models using Databricks (Delta Lake, Unity Catalog, MLflow, Feature Store, Workflows) and modern DevOps practices across our cloud environments.

Key Responsibilities

Lakehouse & Databricks Platform

Design and maintain Databricks workspaces, clusters, SQL Warehouses, cluster policies, and workspace governance (RBAC, SCIM, SSO, secret scopes).
Implement robust data pipelines with Delta Lake (ACID tables, Z‑ordering, OPTIMIZE/VACUUM), Delta Live Tables (DAGs, expectations), and Workflows (jobs, task orchestration).
Set up Unity Catalog for cross-workspace governance: data & model lineage, permissions, catalogs/schemas, data tags, and auditability.
Operationalize ML models using MLflow (tracking, artifacts, metrics, model registry, approvals, stages: Staging/Production).
Build/maintain Feature Store entities and feature pipelines; enforce reproducibility and feature governance.
Establish model deployment patterns (batch scoring, streaming, microservices) using Model Serving.
Create scalable CI/CD for notebooks, repos, and jobs using Azure DevOps, including unit/integration tests, data/feature validation, and registry promotions.
Implement data quality and ML quality controls (e.g., Great Expectations/Delta expectations, statistical tests, drift detection, canary releases).
Build robust monitoring & alerting for data freshness, pipeline SLAs, model performance, drift, and operational metrics.
Optimize performance and cost (autoscaling, spot instances, DBR runtimes, caching, storage tiers).
Enforce compliance and security best practices (PII handling, encryption at rest/in transit, network controls, secret management).
Partner with data engineers and subject matter experts to standardize templates for experiments, pipelines, model packaging, and deployment.
Document patterns and build internal tooling (CLI utilities, Python packages) to streamline model release and observability.
Contribute to incident response, post‑mortems, and continuous improvements.

ML Lifecycle & MLOps

Operationalize ML models using MLflow (tracking, artifacts, metrics, model registry, approvals, stages: Staging/Production).
Build/maintain Feature Store entities and feature pipelines; enforce reproducibility and feature governance.
Establish model deployment patterns (batch scoring, streaming, microservices) using Model Serving.
Create scalable CI/CD for notebooks, repos, and jobs using Azure DevOps, including unit/integration tests, data/feature validation, and registry promotions.
Implement data quality and ML quality controls (e.g., Great Expectations/Delta expectations, statistical tests, drift detection, canary releases).
Build robust monitoring & alerting for data freshness, pipeline SLAs, model performance, drift, and operational metrics.
Operationalize ML models using MLflow (tracking, artifacts, metrics, model registry, approvals, stages: Staging/Production).
Build/maintain Feature Store entities and feature pipelines; enforce reproducibility and feature governance.
Establish model deployment patterns (batch scoring, streaming, microservices) using Model Serving.
Create scalable CI/CD for notebooks, repos, and jobs using Azure DevOps, including unit/integration tests, data/feature validation, and registry promotions.
Implement data quality and ML quality controls (e.g., Great Expectations/Delta expectations, statistical tests, drift detection, canary releases).
Build robust monitoring & alerting for data freshness, pipeline SLAs, model performance, drift, and operational metrics.
- Design, deploy, and operate LLMOps pipelines for Retrieval‑Augmented Generation (RAG), including document ingestion, embedding generation, vector storage, retrieval strategies, prompt/version management, and evaluation, using Databricks (Delta Lake, MLflow, Model Serving) to ensure secure, auditable, and production‑grade GenAI systems.

Infrastructure & Security

Optimize performance and cost (autoscaling, spot instances, DBR runtimes, caching, storage tiers).
Enforce compliance and security best practices (PII handling, encryption at rest/in transit, network controls, secret management).

Collaboration & Process

Partner with data engineers and subject matter experts to standardize templates for experiments, pipelines, model packaging, and deployment.
Document patterns and build internal tooling (CLI utilities, Python packages) to streamline model release and observability.
Contribute to incident response, post‑mortems, and continuous improvements.

Qualifications

Required

BS/MS in Computer Science, Engineering, Data Science, or equivalent practical experience.
3+ years of MLOps/ML Engineering/Platform Engineering experience in Databricks.
Hands‑on expertise with Databricks: Delta Lake, Unity Catalog, MLflow (Tracking/Registry), Feature Store, Workflows/Jobs, Repos, and Model Serving.
Strong Python engineering skills (packaging, testing, virtual environments); familiarity with Spark (PySpark) and SQL.
Experience with CI/CD (GitHub Actions/Azure DevOps/GitLab), artifact registries, and environment management.
Solid understanding of data/machine learning pipeline design (batch/streaming), data quality checks, and ML evaluation/monitoring.

Soft Skills

Excellent communication and organizational abilities.
Ability to work independently and as a part of cross-functional teams.
Comfortable operating in a fast-paced, changing environment.
Strong analytical and problem-solving skills, with the ability to interpret data and drive recommendations.

HBiz Approval & Disclaimer

This job description is intended to describe the general nature and level of work performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications required. Responsibilities may change based on business needs, client requirements, or operational priorities.

HBiz reserves the right to modify this job description at any time, with or without notice.

Employment with HBiz is at-will, meaning either the employee or the company may terminate employment at any time, with or without cause or notice, subject to applicable law.

HBiz is an Equal Opportunity Employer and is committed to providing a workplace free from discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply Now

Refine Your Search

operations engineer tier jobs

LLM Operations Engineer

Network Engineer Manager

Plant Engineer - Small

Hotel Maintenance Engineer

Sr. Applications Support Engineer

Installation Project Manager

Unified Communications Engineer - Senior

ENVIRONMENTAL ENGINEER III

Tool Designer

Quality Engineer

Operational Excellence Engineer

Tier 3 Engineer

Senior Product Design Electrical Engineer, Data Center Engineering - Electrical Products and Services (DCE-EPS)

Telecom Network Senior Engineer

Application Engineer - Material Handling Automation Systems

Data centre Site Operations Leader

Estimator/Project Manager

Manager Structural Design

Run Plant Engineer

Autonomy System Architect

I want to receive the latest job alert for operations engineer tier

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