Azure AI Platform Engineer

VDart Inc

Job Location:

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Azure AI Platform Engineer

Work Location: Dallas TX (Onsite)

Type: Contract

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

Role: Azure AI Platform Engineer Work Location: Dallas TX (Onsite) Type: Contract 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...

Role: Azure AI Platform Engineer

Work Location: Dallas TX (Onsite)

Type: Contract

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.