Azure AI Platform Engineer

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)