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Senior Electrical Engineer - Mission Critical - Austin
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The Senior Electrical Engineer will lead electrical design project teams to create world class designs for new projects, alterations and redevelopments on a variety of projects including…
Added 1 min ago
Microfab Wet Etch Engineer
The Charles Stark Draper Laboratory, Inc.
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Engineer, Acetyls Process
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LyondellBasell is a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that includes a Nobel Prize in Chemistry and our…
Added 2 mins ago
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Senior Infrastructure Engineer
Link Solutions, Inc.
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- $135,000 to $175,000 USD / year
Link Solutions is seeking a Senior Infrastructure Engineer to support the Army Research Laboratory (ARL) Information Technology Modernization and Support Services program in Adelphi,…
Added 2 mins ago
Design Engineer
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Equipment Engineering Technician: B / D-Shift
Coherent Corp. US
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Individual must be self-motivated and be able to organize and manage his/her daily work as directed by management, Equipment Engineer and or senior technicians.
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New Product Development Design Engineer
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…manufacturer of distribution transformers and engineered electrical solutions, serving electric utilities, Original Equipment Manufacturers (OEMs), and industrial customers across North…
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Construction Project Engineer, Aerospace
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Controls Engineer/Technologist 2
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Capital Markets Financial Engineer - Advisor
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- $141,000 to $184,000 USD / year
The Capital Markets Financial Engineer - Advisor role will give you the opportunity to shape critical financial analyses and provide thought leadership across capital markets initiatives…
Added 3 mins ago
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Systems Engineer - Pittsfield, MA
Military Spouse Jobs & VetJobs
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- $70,963 USD / year
As a systems engineer for the Unmanned & Future Combatant Systems business area, you’ll be a member of a cross functional team responsible for systems engineering for our Future Combatants…
Added 4 mins ago
Senior Structural Engineer 1 - Nuclear
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…safety, innovation, and sustainability, we provide cutting-edge solutions that power communities worldwide while reducing emissions. Shape the future of global energy with…
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Staff Software Development Engineer in Test
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…organizations thrive. Our GuidanceResourcesⓇ and AbsenceResourcesⓇ solutions deliver end-to-end mental health, well-being, work-life, health navigation, and absence support to more than…
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GE Vernova Mechanical Component Engineer
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…specialists, and subject matter experts to deliver the highest quality solutions to our clients with consistency and…
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Senior Software Engineer
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Scheduler
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…reducing reliance on vendor-managed solutions.This Senior Data Engineer will play a key role in designing and building a scalable, transparent, and audit-ready data platform using Snowflake…
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Project Manager
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Advanced Manufacturing Engineer
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Mechanical Design Engineer
Team Builder Recruiting
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Project Ownership: Take responsibility for engineering challenges and see the real-world impact of your solutions.

Bright Vision Technologies

Machine Learning Engineer

Frisco / North Dallas, TX, 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: Machine Learning 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 a Machine Learning Engineer to develop, train, evaluate, and operationalize predictive and classification models for production applications. The engineer will work across data preparation, feature engineering, model experimentation, validation, and deployment, partnering with data scientists and software teams to deliver measurable model performance and maintainable services.

Key Responsibilities

Prepare datasets, engineer features, and build reproducible training and validation pipelines.
Develop, tune, and evaluate machine learning models for classification, regression, ranking, or forecasting use cases.
Implement model-serving components and integrate inference workflows with application and data platforms.
Track model performance, investigate drift or quality degradation, and recommend retraining or improvement actions.
Document experiments, model assumptions, evaluation results, and implementation decisions for engineering stakeholders.

Required Qualifications

Experience Required: typically 5+ years in machine learning engineering, applied data science, or related production model development; align with the approved requisition.
Strong Python skills and practical experience with libraries such as scikit-learn, pandas, NumPy, or equivalent tools.
Understanding of supervised and unsupervised learning, model evaluation, feature engineering, and statistical fundamentals.
Experience with at least one deep-learning framework such as PyTorch or TensorFlow, where relevant to the project.
Experience building reproducible data and model pipelines and managing code through Git.
Ability to deploy or integrate model inference into APIs, batch workflows, or application services.
Strong analytical reasoning, experimentation discipline, and communication of model trade-offs.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.

Preferred Qualifications

Experience with distributed training, feature stores, experiment tracking, or model registries.
Exposure to cloud machine learning services and containerized deployment.
Familiarity with model explainability, bias evaluation, and production monitoring practices.
Relevant machine learning or cloud platform 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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