What are the responsibilities and job description for the Azure AI Platform Engineer - Atlanta, GA / Dallas, TX / Charlotte, NC (Onsite Role) position at USG, Inc.?
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Hope you are fine.
I have multiple opportunities for Azure AI Platform Engineer with my client. Please go through the below job description and let me know your interest for the same
Role: Azure AI Platform Engineer
Location: Atlanta, GA / Dallas, TX / Charlotte, NC (Onsite Role)
Contract
Job Description:
Job Duties:
• Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.
• Apply statistical skills and advanced statistical techniques and concepts.
• Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
• Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
• Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
• Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras.
• Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.
• Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.
• Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks
• Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.
• Work closely with customers to understand their requirements and deliver customized AI solutions.
• Interact at appropriate levels to ensure client satisfaction and project success.
• Communicate complex technical concepts clearly to non-technical audiences.
• Conduct training sessions to enhance overall data science skills within the organization.
Minimum Skills Required:
• 7 years of experience with Azure architecture and Azure Kubernetes
• 3 years of experience with AI platform engineering, ModelOps
Jaya Kushwaha
Associate Manager – Recruitment
Email:
USG Inc. | Vistara Solutions Inc.
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