Top 193 Operations packaging engineer Jobs in Remote

Machine Learning Operations Engineer
Health Business Solutions LLC —Remote
- Remote
- Computer science
- Computer Science
- Bachelor of Science
LLM Operations Engineer
Health Business Solutions LLC —Remote
- Remote
- Computer science
- Computer Science
- Bachelor of Science
Process Technology Engineer -Rigid Packaging
Ring Container Technologies —Remote
- Full-time
- Senior level
- Mechanical knowledge
Software Packaging Engineer
NinjaOne —Remote
- $120,000 - $150,000 a year
- Full-time
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- Software troubleshooting
- Research
- Windows
- Health insurance
- Dental insurance
Staff Engineer II
Packaging Corporation of America —Remote
- $110,000 - $140,000 a year
- Full-time
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- Microsoft Word
- Microsoft Outlook
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- AD&D insurance
- Paid holidays
AI Data Labeler
Mashgin —Remote
- Contract
- Laboratory experience
- Mid-level
- Radiology
Sr. Applications & Packaging Integration Engineer
Kentro —Remote
- $117,000 - $133,000 a year
- Full-time
- Computer Science
- 5 years
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- Health insurance
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11d
Senior Development Operations Engineer
Cotiviti —Remote
- $115,000 - $145,000 a year
- Full-time
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Senior Packaging Engineer (UFOS)
Equity Packaging, Inc. —Minneapolis, MN
- Full-time
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- 5 years
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Quick Apply
Senior Staff Engineer
Packaging Corporation of America —Remote
- $85,000 - $165,000 a year
- Full-time
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- 8 years
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- AD&D insurance
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Senior Production Engineer (IC4)
Ontrac Solutions —Remote
- $90 - $100 an hour
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CI/CD Engineer
ALPAC, Inc —Remote
- Full-time
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- Azure
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Senior DevOps/Platform Engineer
Jitsu —Remote
- $120,000 - $147,000 a year
- Full-time
- Remote
- Java
- Senior level
- Communication skills
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Lead Software Engineer II, AI Operations
Best Egg —Remote
- $150,000 - $170,000 a year
- Full-time
- Mentoring
- Senior level
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- Paid parental leave
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Pump Engineering Packaging
Ruhrpumpen, Inc. —Remote
- Full-time
- Up to 50% travel
- Travel
- Senior level
Quick Apply
SCCM Engineer Remote opportunity – Only candidates with Airline experience
Intone Networks —Remote
- Contract
- Remote
- 5 years
- Windows
- Senior level
4d
Senior AI Enablement Engineer
Counterpart Health —Jersey City, NJ
- $140,000 - $175,000 a year
- Remote
- Scripting
- Fair chance
- Training & development
- Paid parental leave
- Health insurance
Quick Apply
Big Data Engineer
AdvanSix —Remote
- $104,600 - $156,800 a year
- Full-time
- Remote
- System design
- SQL
- Senior level
- Health savings account
- Paid holidays
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Agentic Software Engineer (Full Stack)
Specright —Remote
- $150,000 - $200,000 a year
- Full-time
- Remote
- Continuous improvement
- APIs
- Senior level
- Health insurance
- Dental insurance
Quick Apply
Technology Operations Engineer II - Remote
UNFI —Providence, RI
- $70,800 - $132,400 a year
- Full-time
- Remote
- Computer Science
- Mid-level
- Windows
- Health savings account
- AD&D insurance
Quick Apply

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operations packaging engineer jobs near remote

Machine Learning Operations Engineer

Health Business Solutions LLC -
Remote

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Job Details

Qualifications

AI models
Data integrity assurance
Databricks
Data validation techniques
Spark
SQL
Model deployment
Data quality monitoring
Data-driven problem-solving
Machine learning (ML) fundamentals
DevOps automation
Batch data processing
Python
MLOps
Database software proficiency

Full Job Description

We are looking for an MLOps 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.

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 packaging engineer jobs in remote

Machine Learning Operations Engineer

LLM Operations Engineer

Process Technology Engineer -Rigid Packaging

Software Packaging Engineer

Staff Engineer II

AI Data Labeler

Sr. Applications & Packaging Integration Engineer

Senior Development Operations Engineer

Senior Packaging Engineer (UFOS)

Senior Staff Engineer

Senior Production Engineer (IC4)

CI/CD Engineer

Senior DevOps/Platform Engineer

Lead Software Engineer II, AI Operations

Pump Engineering Packaging

SCCM Engineer Remote opportunity – Only candidates with Airline experience

Senior AI Enablement Engineer

Big Data Engineer

Agentic Software Engineer (Full Stack)

Technology Operations Engineer II - Remote

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