Machine Learning and AI Developer

1 week ago

Atlanta, Georgia, United States Petram Search Group Full time
About the Role

We are seeking a highly skilled and experienced Artificial Intelligence Engineer to join our Data & AI team at Petram Search Group. As a key member of our team, you will be responsible for designing, developing, and implementing cutting-edge AI and ML solutions to transform our global financial network and improve the quality of our products and services.

Key Responsibilities
  • Design and Develop AI Solutions: You will be responsible for designing and developing AI solutions that leverage Large Language Models (LLMs) and Generative AI to improve our products and services.
  • Build and Integrate APIs: You will build and integrate APIs to extract information from sources, integrate with GPT4, and make insights available in intuitive dashboards.
  • Develop and Maintain AI Pipelines: You will develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
  • Communicate Complex AI Concepts: You will develop clear and concise documentation, including technical specifications, to communicate complex AI concepts to both technical and non-technical stakeholders.
  • Establish Best Practices: You will establish best practices and standards for generative AI development within the organization.
Requirements
  • 3-5 years of experience in AI/ML engineering
  • Experience with Azure AI/Studio
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Experience in implementing enterprise systems in production settings for AI, natural language processing
  • Strong knowledge of data structures, algorithms, and software engineering principles
  • Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats
  • Solid experience developing and implementing Generative AI like transformers, LLM's, text embedding's and with strong understanding of deep learning techniques like GPTs
  • Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, Hugging Face, Lang chain and/or Llama Index
  • Experience with information storage/retrieval using vector databases like pinecone
  • Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras
  • Experience with cloud-based platforms and services, such as AWS, GCP, or Azure
  • Experience with notebooks like Jupyter and familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly

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