Top 2618 Batch operations engineer Jobs

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
Sr. Engineer – DSP
DMC Biotechnologies, Inc. —Boulder, CO
- $125,000 - $155,000 a year
- Full-time
- Bachelor of Science
- Bachelor's degree
- Doctor of Philosophy
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
Sr Engineer, Data Science & Machine Learning Operations - remote opportunity
Tivity Health, Inc. —Remote
- $165,000 - $200,000 a year
- Full-time
- Remote
- 5 years
- Continuous improvement
- Senior level
- Health insurance
- Dental insurance
Fermentation Engineer
Manus —Augusta, GA
- Full-time
- Bachelor of Science
- 11+ years
- Mid-level
- Opportunities for advancement
Quick Apply
Senior Facets G6 Batch Engineer (AWS) - Remote
Cognizant —Englewood, CO
- $93,000 - $109,000 a year
- Full-time
- Remote
- DevOps
- US work authorization
- Senior level
- Paid parental leave
- Employee stock purchase plan
Pilot Plant Operator
Solcoa Industries —San Francisco Bay Area, CA
- $90,000 - $120,000 a year
- Full-time
- Forklift
- Continuous improvement
- Power tools
- Dental insurance
- Vision insurance
MSAT Engineer
Sana Biotechnology. —Cambridge, MA
- $120,000 - $150,000 a year
- Weekends as needed
- Mid-level
- Bachelor's degree
- 1 year
- Commuter assistance
- Employee stock purchase plan
Lead Bioprocess Development Engineer
Switch Bioworks —San Carlos, CA
- $120,000 - $155,000 a year
- Full-time
- 5 years
- Bachelor of Science
- Bachelor's degree
Quick Apply
Operations Engineer
Syensqo —Willow Island, WV
- $88,480 - $123,400 a year
- Bachelor of Science
- Bachelor's degree
- Training & development
Quick Apply
Operations Engineer - Peptide API
Hims & Hers —Menlo Park, CA
- $110,000 - $125,000 a year
- Full-time
- Remote
- Mid-level
- Bachelor's degree
- Fair chance
- Employee stock purchase plan
- Health insurance
12d
Applications Operations Engineer
Interclypse, Inc. —Annapolis Junction, MD
- Full-time
- Computer Science
- 3 years
- Senior level
- Paid jury duty
- Health savings account
Process Engineer
Katalyst Healthcares & Life Sciences —Morristown, NJ
- Contract
- Bachelor of Science
- Analysis skills
- Continuous improvement
Quick Apply
Process Engineer—Chemical Operations
Suterra —Bend, OR
- Full-time
- Mid-level
- 3 years
- Bachelor's degree
- Opportunities for advancement
Quick Apply
Data Engineer, Engineering & Operations
NBCUniversal —New York, NY
- $115,000 - $145,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
14d
Process Engineer
Eckart America —Painesville, OH
- $80,000 - $100,000 a year
- Overtime
- Mid-level
- 3 years
- Ability to lift 50 pounds
- Health savings account
- Health insurance
Quick Apply
8d
Controls Engineer C-Crew
Piston Automotive —North Kansas City, MO
- $95,000 - $110,000 a year
- Full-time
- Microsoft Word
- Background check
- Microsoft Excel
- Health savings account
- Paid holidays
Process Engineer
Piramal Pharma Solutions —Lexington, KY
- $69,000 - $96,000 a year
- Full-time
- Background check
- Microsoft Excel
- 5 years
- Health savings account
- Health insurance
Quick Apply
Senior Engineer - Engineering, Equipment
Catalent —Madison, WI
- Email
- Engineering
- Master's degree
- Doctor of Philosophy
- Paid holidays
- Health insurance

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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

batch operations engineer jobs

Machine Learning Operations Engineer

LLM Operations Engineer

Sr. Engineer – DSP

Technology Operations Engineer II - Remote

Sr Engineer, Data Science & Machine Learning Operations - remote opportunity

Fermentation Engineer

Senior Facets G6 Batch Engineer (AWS) - Remote

Pilot Plant Operator

MSAT Engineer

Lead Bioprocess Development Engineer

Operations Engineer

Operations Engineer - Peptide API

Applications Operations Engineer

Process Engineer

Process Engineer—Chemical Operations

Data Engineer, Engineering & Operations

Process Engineer

Controls Engineer C-Crew

Process Engineer

Senior Engineer - Engineering, Equipment

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