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Job Location drjobs

Raritan, NJ - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Position Details Job Location Raritan NJ Remote ok (Yes / No) No (Day-1 onsite) Project Duration 6 months Job Title/Role AI Architect Mandatory Skills Mandatory
  • 12 years of hands-on technical experience in software engineering with at least 5 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.

Preferred:
Hands on experience in GCP/Data Engineering/DevOps Detailed JD (Pl share the Detailed Description 1 liner JD will not work) 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. This hands-on leadership position requires extensive technical expertise and experience in managing a diverse cross-functional team of engineers spanning GenAI App Development Data Science Machine Learning Full Stack DevOps Cloud Infrastructure and API development.

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.
Skill Matrix:
Skill Required Proficiency - On a scale of 1-5 (5 being the highest) AI Architect Design and implement scalable architectures for Generative AI-based applications addressing challenges such as latency fine-tuning model monitoring and cost optimization 5 Strong background in data science machine learning and software engineering 5 Job Location Hands-on expertise in managing LLMs (e.g. OpenAI Hugging Face or custom models). 4 Solid understanding of cloud platforms (e.g. AWS Azure GCP) and MLOps best practices. 4 Agentic AI implementation 3.5 Raritan NJ 4 API framework ( ) 3

Employment Type

Full Time

Company Industry

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