Artificial Intelligence Engineer

2 weeks ago


Atlanta, Georgia, United States Petram Search Group Full time
Transforming Financial Industry with AI

We are seeking a talented Artificial Intelligence Engineer to join our Data & AI team, transforming our global financial network and improving the quality of our products and services. As a key member of this team, you will leverage cutting-edge AI and ML algorithms to develop innovative solutions for automated document processing and customer service chatbots.

Responsibilities:
  • Design and develop full-stack solutions using Large Language Models (LLMs) and Generative AI, focusing on privacy, security, and fairness.
  • Develop extensible API integrations with short cycle times to extract information from sources, integrate with GPT4, and provide insights in intuitive dashboards.
  • Build solutions that align with responsible AI practices and envision outcomes to solve business problems with actionable insights.
  • Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
  • Communicate complex AI concepts to technical and non-technical stakeholders through clear documentation and code-ready templates.
  • Establish best practices and standards for generative AI development within the organization.
Requirements:
  • 4+ years of experience in AI/ML engineering.
  • Experience with Azure AI/Studio and implementing enterprise systems in production settings for AI and natural language processing.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong knowledge of data structures, algorithms, and software engineering principles.
  • Experience with designing scalable software systems for classification, text extraction/summary, and data connectors for different formats.
  • Solid experience developing and implementing Generative AI like transformers, LLMs, and text embeddings.
  • Experience with natural language processing techniques and tools, such as SpaCy, NLTK, Hugging Face, and Lang chain.
  • Experience with information storage/retrieval using vector databases like pinecone.
  • Proficient in Python and experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras.
  • Experience with cloud-based platforms and services, such as AWS, GCP, or Azure.
  • Experience with notebooks like Jupyter and data visualization tools and libraries like Matplotlib, Seaborn, or Plotly.


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