Azure AI Platform Engineer
Posted 4 days ago by 1765520295
Negotiable
Outside
Remote
USA
Summary: The Azure AI Platform Engineer role focuses on developing AI/ML applications utilizing various frameworks and technologies, including Azure OpenAI and Google Vertex Gen AI. The position requires collaboration with cross-functional teams to implement GenAI solutions and enhance data science capabilities within the organization. Candidates should possess strong technical skills in Azure and cloud networking, along with experience in model development and validation. The role is remote and classified as outside IR35.
Key Responsibilities:
- 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.
Key Skills:
- Strong Azure experience
- Cloud networking
- Model Development/Model Validation within Azure ML Studio
- Kubernetes (a priority since Argo is primarily used for managing K8s deployments)
- API development, with exposure to Bento being strongly preferred
- Argo (Kubernetes deployment management)
- Bento (API management)
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Role: Azure AI Platform Engineer
Location: Remote
Type: Contract
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:
Required skills:
- Strong Azure experience
- Cloud networking
- Model Development/Model Validation within Azure ML Studio
- Kubernetes (a priority since Argo is primarily used for managing K8s deployments)
- API development, with exposure to Bento being strongly preferred
Nice-to-have / strongly preferred:
- Argo (Kubernetes deployment management)
- Bento (API management)