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Machine Learning Engineer
Job in
Hackensack, Bergen County, New Jersey, 07601, USA
Listed on 2026-02-15
Listing for:
Baanyan Software Services, Inc.
Full Time
position Listed on 2026-02-15
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Job Title:
Machine Learning Engineer (Backend / Platform)(Not a Data Scientist Role)
Location:
Open (USA)
Employment Type:
Full-Time (It's a W2 Role, No C2C Resumes Please)
Location:
New Jersey (Need local candidate) Additional Requirements
- Minimum 5 years of hands-on experience gained in India and 1 year in the USA
- Candidate must be local to New Jersey
. - A valid New Jersey driver’s license is required as proof.
- Visa eligibility: OPT, STEM OPT, H-4 EAD, L2S, GC, and Citizen
- Education: A Bachelor’s or Master’s degree from a reputed institution is strongly preferred.
We are seeking a Machine Learning Engineer with strong backend and platform engineering expertise to build, deploy, and scale production-grade ML services. This is a pure engineering role focused on ML APIs, backend systems, and infrastructure
—
not a Data Scientist role
.
- Design, develop, and maintain production ML services using Python
. - Build and expose ML inference APIs using FastAPI and REST standards.
- Deploy, version, monitor, and scale ML models as backend services.
- Implement end-to-end ML serving pipelines with reliability and performance in mind.
- Integrate ML services with existing backend systems and microservices.
- Ensure observability, logging, monitoring, and alerting for ML APIs.
- Collaborate with backend, platform, and Dev Ops teams.
- Follow best practices for code quality, testing, and CI/CD.
- Strong proficiency in Python
. - Hands-on experience with FastAPI and RESTful API development.
- Solid experience in backend / ML engineering (production-focused).
- Experience deploying ML models to cloud environments
. - Strong experience of Infrastructure as Code (Terraform).
- Experience with Docker and cloud platforms (AWS / Azure / GCP).
- Familiarity with CI/CD pipelines and monitoring tools.
- Kubernetes or managed container orchestration experience.
- Experience building scalable, distributed backend systems.
Vasu
100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817
Phone: Extn: 207 | Direct:
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