AI Technical Architect
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Job Location:
Raritan, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
8 years of hands-on technical experience in software engineering with at least 3 years in a leadership role managing cross-functional teams including GenAI machine learning and cloud infrastructure.
Hands-on Experience in designing and developing large-scale systems including GenAI API architectures data systems ML pipelines and cloud-native applications.
Programming Languages: Proficiency in Python JavaScript Java or other backend languages. Experience with API development (RESTful APIs GraphQL).
Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow PyTorch scikit-learn and spaCy with hands-on experience in integrating them into GenAI applications.
Hands on experience in GCP/Data Engineering/DevOps
The AI architect will play a pivotal role in architecting leading and actively contributing to the development of GenAI applications machine learning models data engineering pipelines and cloud-native infrastructure.
Be responsible for architecting complex systems making critical decisions and leading teams to deliver high-quality scalable solutions while remaining directly involved in coding technical design and problem-solving
Hands-on Experience in designing and developing large-scale systems including GenAI API architectures data systems ML pipelines and cloud-native applications.
Programming Languages: Proficiency in Python JavaScript Java or other backend languages. Experience with API development (RESTful APIs GraphQL).
Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow PyTorch scikit-learn and spaCy with hands-on experience in integrating them into GenAI applications.
Hands on experience in GCP/Data Engineering/DevOps
The AI architect will play a pivotal role in architecting leading and actively contributing to the development of GenAI applications machine learning models data engineering pipelines and cloud-native infrastructure.
Be responsible for architecting complex systems making critical decisions and leading teams to deliver high-quality scalable solutions while remaining directly involved in coding technical design and problem-solving
Key Skills
- APIs
- SOAP
- Software Architecture
- .NET
- Design Patterns
- Enterprise Software
- AWS
- Solution Architecture
- Cloud Architecture
- Java
- SSO
- Oracle
