GEN AI Architect - Onsite

Creative Solutions Services, LLC; Raritan (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a seasoned AI/ML expert to lead the development of cutting-edge Generative AI models. With over 15 years of experience, you will architect enterprise-level MLOps systems and engage with senior leadership to drive innovation in AI applications. This role offers the opportunity to work with advanced technologies and frameworks, including Python, TensorFlow, and AWS, while making a significant impact in the life sciences sector. If you are passionate about pushing the boundaries of AI and have a proven track record in the field, this could be your next exciting challenge.

Qualifications

• 15+ years of experience in AI/ML with a strong focus on Generative AI.
• Proficiency in Python and advanced NLP techniques.

Responsibilities

• Develop and implement Generative AI models using the latest frameworks.
• Engage with customers at senior leadership levels.

Skills

Python

Generative AI models

NLP techniques

Machine Learning

Customer engagement

Education

Bachelor's or Master's degree in Computer Science

Tools

TensorFlow

PyTorch

Keras

FastAPI

SQL

NoSQL

Elasticsearch

AWS

GCP

Azure

Job description

Qualifications:

1. Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field, with 15+ years of experience.
2. At least 2 years of experience developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5, and BERT.
3. Experience with Large Language Models (LLMs) like OpenAI GPT and others.
4. Knowledge of the latest Generative AI application development frameworks.
5. Life sciences experience is preferred.
6. Experience engaging with customers at SLT and VP levels.
7. Proficiency in Python, with 8+ years of experience using machine learning libraries such as TensorFlow, PyTorch, or Keras.
8. Experience developing FastAPI applications and documentation.
9. Experience working with SQL, NoSQL, Elasticsearch, and file storage systems.
10. Familiarity with cloud platforms such as AWS (mandatory), GCP, or Azure.
11. Over 8 years of experience with advanced NLP techniques and tools like SpaCy, NLTK, or Hugging Face.
12. Significant experience architecting enterprise-level MLOps systems.