AI Systems Architect

5 days ago

Raritan, New Jersey, United States Droisys Full time
Gen AI Architect

At Droisys, we're seeking a highly skilled Gen AI Architect to join our team. As a key member of our AI development team, you will be responsible for designing, developing, and implementing cutting-edge Generative AI models and algorithms.

Key Responsibilities:

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

Requirements:

  • 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.

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