Description

You will design, develop, and deploy scalable AI/ML applications using Python, focusing on modern generative AI patterns and cloud infrastructure.

This role is on-site.

Responsibilities

• Design and implement Retrieval-Augmented Generation (RAG) pipelines for efficient information retrieval.
• Develop vector-based search solutions for semantic similarity using ChromaDB, FAISS, or Annoy.
• Build and maintain data pipelines for AI/ML model ingestion, processing, and storage.
• Deploy and manage AI/ML workloads on Azure, utilizing Azure ML, Cognitive Search, AKS, Functions, and Blob Storage.
• Implement CI/CD pipelines and DevOps practices to ensure reliable deployment and operation.

Required Skills

• 5+ years of experience as a Python Developer with a solid understanding of programming concepts and best practices.
• Strong working knowledge of Azure cloud services for AI/ML workloads.
• Hands-on experience with AI/ML libraries: TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
• Significant experience implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience with data processing and storage: SQL, NoSQL databases, and Azure Data Lake Storage.
• Familiarity with containerization (Docker) and orchestration (Kubernetes/AKS).
• Experience with CI/CD Pipelines and DevOps practices.

Preferred Skills

• Bachelor's or Master's degree in Computer Science or related field.
• 3+ years of tenure in previous roles.

Key Skills

Education

Bachelor's or Master's degrees