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AI Architect

Job in Raritan, Somerset County, New Jersey, 08869, USA
Listing for: The Dignify Solutions, LLC
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below

Job Title

Qualifications:

  • 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

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
  • 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
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