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Principal AI Engineer (Hybrid) - Direct Hire | Open

ROLE

As a Principal AI Engineer, you will join a Data & AI team transforming our Client’s network and improving the quality of the products and services provided to their customers. This team will leverage cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chatbots.

In this role, you are expected to

  • Have full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions with focus on privacy, security, fairness.
  • Have strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats for as-is consumption and display on the dashboards/portals.
  • Build extensible API Integrations with short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards
  • Build solutions that align with responsible AI practices.
  • Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes.
  • Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes
  • Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
  • Develop clear and concise documentation, including technical specifications, and code ready templates, to communicate complex AI concepts to both technical and non-technical stakeholders.
  • Establish best practices and standards for generative AI development within the organization.
  • Focus on speed to market and getting products and services in the hands of stakeholders. This requires maintaining a positive and collaborative working relationship with both internal teams and other industry participants at large.
  • Creative and inventive problem-solving skills for reduced turnaround times are required, and valued, and will be a major part of the job.

  

KEY CLIENT NOTES

  • Salary up to $160 – $165 + bonus
  • Hybrid work schedule with office located in Midtown Atlanta
  • Experience with Azure and Azure AI/Studio (native) strongly preferred
  • Experience in producing and scaling AI (LLM/SLM based) applications
  • Strong advocate of AI vs traditional ML
  • Measuring accuracy and relevancy – improving on them for your use case/applications
  • Strong hands-on experience with quick prototyping of code templates for solving advanced problems in AI
  • Big Tech and/or data science experience is a HUGE plus. Again, experience working with LARGE data sets 

 

QUALIFICATIONS

  • Bachelor’s or Master’s degree in Computer Science or related degree
  • Experience in implementing enterprise systems in production setting for AI, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus
  • Must have 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 (pdf, csv, doc, etc)
  • 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 familiarilty with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
  • Experience with Agile development concepts and related tools
  • Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
  • Excellent written and strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
  • Passion for learning with a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
 
 
 

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