Jobs in the United States

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Field Engineer -- Recent Graduates
Harder Mechanical Contractors
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As a Field Engineer, you will be working in one of these market sectors: Commercial Buildings (healthcare, higher education, mission critical, and retail), Advanced Technology…
Added just now
Field Engineer -- Recent Graduates
Harder Mechanical Contractors
Concord, CA
As a Field Engineer, you will be working in one of these market sectors: Commercial Buildings (healthcare, higher education, mission critical, and retail), Advanced Technology…
Added 1 min ago
Engineer- Controls II USA
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…global implementation and development of electrical controls systems/designs, PLC/HMI programing, perform vendor equipment check-out, equipment/system start-ups, data collection and…
Added 2 mins ago
AI R&D Engineer Co-op
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Added 2 mins ago
Senior Software Engineer - GA
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RF Manufacturing Test Engineer
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Electrical/Electronics Designer/Drafter
Amentum
Houston, TX
Amentum is seeking a seasoned professional to serve as an Electrical Engineering Designer/Drafter for the Houston, TX engineering team. The Electrical Engineering Designer/Drafter will work…
Added 2 mins ago
Integrated Test Engineer
Amentum
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Plant Engineer I – Flowsheet Integration
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Global Practice Leader of Mission Critical Engineering
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Bachelor’s degree in electrical engineering, mechanical engineering or a closely related engineering discipline; active Professional Engineer (PE) license.
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Senior Scrum Master
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…independently while fostering collaborative solutions across integrated engineering teams. To excel, you must possess a proactive leadership mindset and the agility to rapidly master and…
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Senior Scrum Master
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…independently while fostering collaborative solutions across integrated engineering teams. To excel, you must possess a proactive leadership mindset and the agility to rapidly master and…
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Flight Software Requirements and Analysis Engineer
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As a Flight Software Requirements and Analysis Engineer at Amentum Space Exploration Division you will be responsible for defining, documenting, and validating the technical requirements…
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Hotel Maintenance Engineer
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Responsible for the preventative and repair of the hotel’s mechanical/electrical systems and equipment, and for the general maintenance and upkeep of the physical
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GD
Materials Supervisor
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- $52,946 to $99,086 USD / year
Education: Degree in Operations Management, Business Administration, Supply Chain, Manufacturing, Engineering, or related field preferred, or acceptable combination of experience and…
Added 2 mins ago
H
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- $110,300 to $159,950 USD / year
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Senior Software Engineer - Digital Platforms
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Process Engineer
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The Process Engineer is responsible for designing, optimizing, and sustaining manufacturing and utility processes to ensure safe, efficient, and cost-effective production. This role serves…
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Software Engineer, Systems ML
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IS Commissioning Provider I
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Bright Vision Technologies

MLOps Engineer

Sunnyvale / South Bay, CA, United States

Remote

$115,000 to $165,000 USD / year

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Job details

Pay: $115,000 to $165,000 USD / year
Workplace: Remote
Apply by: Feb 1, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth. Job Title: MLOps Engineer Location: Remote Position Type: Full-time, Direct W2 - [Not open to C2C or 1099] Salary Range: $115,000–$165,000 Annually Experience Required: 5+ years Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking an MLOps Engineer to build and maintain the automation and infrastructure required to develop, deploy, monitor, and manage machine learning models in production. The role will establish reproducible pipelines, model versioning and registry practices, automated deployment, and operational monitoring in partnership with data science and platform engineering teams.

Key Responsibilities

Build automated pipelines for data validation, model training, evaluation, packaging, and deployment.
Implement model versioning, experiment tracking, artifact management, and model registry workflows.
Automate deployment and serving of models using containers, orchestration platforms, and approved cloud services.
Establish monitoring for model availability, latency, resource utilization, data quality, and model drift.
Collaborate with data scientists, application engineers, and platform teams to improve reproducibility, reliability, and release governance.

Required Qualifications

Experience Required: typically 5+ years in DevOps, machine learning engineering, or ML platform operations; align with the approved requisition.
Strong Python or comparable scripting skills and practical experience automating engineering workflows.
Experience with Docker and Kubernetes or comparable container deployment technologies.
Working knowledge of CI/CD, Git, infrastructure automation, and cloud-based deployment practices.
Understanding of machine learning lifecycle concepts, model packaging, experiment tracking, and model serving.
Experience with monitoring, logging, troubleshooting, and production support for data or application services.
Strong collaboration skills working with data science, software development, and infrastructure teams.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.

Preferred Qualifications

Experience with MLflow, Kubeflow, SageMaker, Azure Machine Learning, or Vertex AI.
Familiarity with feature stores, model registries, data/model drift monitoring, and pipeline orchestration.
Exposure to Terraform, Helm, workflow schedulers, and scalable inference systems.
Relevant cloud, Kubernetes, DevOps, or machine learning operations certification.

How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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