AI Architect Job New York City area,New York USA,IT/Tech

AI Architect

Role: AI Architect

Location:

New York City, NY, 10001 Duration: 12 Months Skills Python for Data Analysis

Responsibilities

Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, BERT.

Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

Design, develop, and implement Generative AI use cases using T5, BERT, GPT

Conduct research to stay up-to-date with the latest advancements in Generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services.

Optimize Generative AI models for improved performance, scalability, and efficiency.

Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Contribute to the establishment of best practices and standards for Generative AI development within the organization.

Function as a technical or project lead and while mentoring junior engineering talent

Requirements

Bachelor/Master degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 10+ years of experience.

2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT.

Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as Tensor Flow, PyTorch, or Keras.

Strong knowledge of data structures, algorithms, and software engineering principles.

Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

8+ years of experience with advanced natural language processing (NLP) techniques and tools, such as Spa Cy, NLTK, or Hugging Face.

Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.

Significant experience architecting cutting-edge MLOps systems in enterprise environments

Knowledge of software development methodologies, such as Agile or Scrum.

Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.

Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.