Description

You will design, build, and deploy AI/ML applications and GenAI solutions on Azure, owning the full lifecycle from ideation to production.

This role is on-site.

Responsibilities

• Develop and implement GenAI solutions using RAG technologies, LLM frameworks, vector databases, and agents.
• Design and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.
• Build AI/ML applications for prediction, recommendation, text analytics, computer vision, and content intelligence.
• Collaborate with cross-functional teams and customers to deliver customized AI solutions and support project execution.
• Conduct training sessions to enhance data science skills and communicate technical concepts to non-technical audiences.

Required Skills

• 7+ years of experience with Azure architecture and Azure Kubernetes Service (AKS).
• 3+ years of experience in AI platform engineering and ModelOps.
• Deep knowledge of ML frameworks: TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Proficiency in Python, including Django, Flask, Django Rest, or FastAPI.
• Experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models.
• Strong understanding of statistics, NLP, Generative Adversarial Networks (GAN), and deep learning models.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with Hugging Face model registries and embedding models.
• Knowledge of BERT, Transformers, PaLM, and Bard.

Key Skills

Education

Bachelor's degree