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 experienceCloud networkingModel Development / Model Validation within Azure ML StudioKubernetes (a priority since Argo is primarily used for managing K8s deployments)API development, with exposure to Bento being strongly preferredNice-to-have / strongly preferred :
Argo (Kubernetes deployment management)Bento (API management)