AI/ML Engineer Azure & GPT Development

Job Title: AI/ML Engineer Azure & GPT Development

Location: Atlanta, GA (Hybrid 3 Days Onsite)

Engagement: Contract Position
Duration: Long term
Compensation: Competitive, based on experience

Position Overview:

We are seeking a highly skilled and motivated AI/ML Engineer with proven experience in building Large Language Models (LLMs) from scratch on the Azure platform. In this role, you will leverage Microsoft Azure s comprehensive suite of cloud services to design, build, and deploy sophisticated AI models that power GPT-based solutions for internal customer-facing applications. Your expertise in prompt engineering, retrieval augmented generation (RAG), and advanced machine learning frameworks will be key to driving innovative and impactful solutions.

Key Responsibilities:

• AI Model Development:

  • Build and train custom LLMs from scratch utilizing Azure services.
  • Develop robust architectures to meet specific business requirements.

• GPT & Prompt Engineering:

  • Design and optimize prompts for GPT models to deliver accurate and high-quality responses.
  • Incorporate prompt engineering best practices to improve model output.

• Azure Cloud Services:

  • Utilize Azure Machine Learning, Azure Cognitive Services, Azure Open AI, and other related services for model deployment and management.
  • Integrate GPT Services and other Azure AI offerings into scalable solutions.

• Advanced ML Techniques:

  • Implement Retrieval Augmented Generation (RAG) strategies to enhance model performance.
  • Work with vector embeddings and FAISS to enable efficient similarity searches and data retrieval.

• Model Optimization & Feedback:

  • Set up and manage feedback loops to continuously refine and improve model performance.
  • Utilize frameworks such as TensorFlow, PyTorch, and Keras to build and fine-tune AI/ML models.

• Collaboration & Documentation:

  • Work closely with data engineering, product management, and business teams to integrate diverse data sources and deliver actionable insights.
  • Maintain comprehensive documentation of model architectures, training processes, and prompt designs.

• Continuous Learning:

  • Stay up-to-date with the latest advancements in AI/ML and Azure cloud technologies, and apply new methodologies to enhance our solutions.

Required Skills & Experience:

• Proven Experience:
  • Demonstrable track record of building an LLM from scratch on Azure.
• Azure Expertise:
  • Hands-on experience with Azure Services including Azure ML, Azure AI, Azure Open AI, and GPT Services.
• GPT & Prompt Engineering:
  • Experience in developing and fine-tuning GPT models along with strong prompt engineering skills.
• Advanced Machine Learning Techniques:
  • Familiarity with Retrieval Augmented Generation (RAG) techniques.
  • Experience with vector embeddings and FAISS.
• ML Frameworks:
  • Proficiency in one or more of TensorFlow, PyTorch, or Keras.
• Feedback Loop Implementation:
  • Ability to design and implement effective feedback loops to optimize model performance.
• Programming & Data Skills:
  • Strong programming skills in Python and familiarity with relevant ML libraries.

Preferred Qualifications:

• Azure certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.
• Experience in building GPT or similar AI solutions for customer-facing applications.
• Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.