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GenAI Architect

1 month ago

Somerville, United States Apptad Inc Full time
Job DescriptionJob Description

Sr Gen AI Architect/LLM

Location: Raritan, New Jersey

Qualifications:

Bachelor/Master degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 15+ 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

Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference.

Life sciences experience preferred.

Experience with handling customers at SLT and VP level.

Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, 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 SpaCy, 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. Able to execute thought leadership.

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