AI Infrastructure Engineer

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AI Summary

We are seeking an AI Infrastructure Engineer to join our team and contribute to building innovative solutions that help businesses automate and optimize their operations. The ideal candidate will have strong technical skills, at least 3-5 years of experience, and the ability to work in a collaborative environment. As an AI Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining AI-enabled infrastructure.

Key Highlights
AI infrastructure engineering
Building innovative solutions
Expertise in AI workloads
Key Responsibilities
Design, implement, and maintain AI-enabled infrastructure
Develop, test, and deploy software applications
Collaborate with team members to provide technical expertise and support
Technical Skills Required
Python Linux Kubernetes Docker Cloud Platforms (AWS / Azure / GCP) NVIDIA CUDA Terraform
Benefits & Perks
H1B sponsorship for the year 2027 quota
Equal employment opportunities
Inclusive work environment
Nice to Have
Strong expertise in machine learning

Job Description


Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.

We leverage cutting-edge AI infrastructure and cloud technologies to build scalable, secure, and high-performance platforms that support machine learning and AI workloads. As we continue to grow, we’re looking for a skilled AI Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota.

Company: Bright Vision Technologies ( www.bvteck.com )

Job Title: AI Infrastructure Engineer

Job Location: Bridgewater, New Jersey - 08807

Onsite/Hybrid: Remote

FULL-TIME ROLE WITH BRIGHT VISION

Job Description:

Environment:

AI/ML Infrastructure, GPU Computing (NVIDIA CUDA), Python, Linux, Kubernetes, Docker, Cloud Platforms (AWS / Azure / GCP), AI Workload Orchestration, High-Performance Computing, Distributed Systems, Storage & Networking for AI, Infrastructure as Code (Terraform), CI/CD pipelines, Monitoring & Observability, Git, Agile methodologies

BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.

For every role, a coding test is required, so apply only if you are confident and technically strong.

We prefer at least 3 to 5 years real time experience.

If you are an AI Infrastructure Engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resume immediately to Venkat.r@bvteck.com.

we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.

Position offered by “No Fee agency.”

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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