Senior AI ML Developer

Must have skills

Python Python Programming Expertise Artificial Intelligence Machine Learning Data Science - AI

Job Description

Role Overview:

We are seeking a highly motivated and skilled Python Developer with a strong background in Azure cloud services and hands-on experience in developing and deploying AI/ML solutions, particularly leveraging Retrieval-Augmented Generation (RAG) and vector-based search architectures. This is an exciting opportunity to join our dynamic team and contribute to building innovative and impactful applications.

Responsibilities:

• Design, develop, and deploy scalable and robust AI/ML applications using Python.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced information retrieval and generation.
• Design and implement efficient vector-based search solutions for semantic similarity and information retrieval.
• Utilize Azure cloud services (e.g., Azure Machine Learning, Azure Cognitive Search, Azure Kubernetes Service, Azure Functions, Azure Blob Storage) to build and deploy AI/ML workloads.
• Develop and maintain data pipelines for ingestion, processing, and storage of data used in AI/ML models.
• Collaborate with data scientists and other engineers to understand requirements and translate them into technical solutions.
• Write clean, well-documented, and testable code following best practices.
• Troubleshoot and debug issues in development and production environments.
• Stay up-to-date with the latest advancements in AI/ML, cloud technologies, and relevant open-source libraries.
• Participate in code reviews and contribute to improving our development processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience (typically 5+ years) as a Python Developer.
• Solid understanding of Python programming concepts and best practices.
• Strong working knowledge of Azure cloud services and their application in AI/ML workloads.
• Hands-on experience with AI/ML concepts and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
• Significant experience in implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience in designing and implementing vector-based search solutions using technologies like ChromaDB, FAISS, Annoy, or similar.
• Experience with data processing and storage technologies (e.g., SQL, NoSQL databases, Azure Data Lake Storage).
• Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes (preferably Azure Kubernetes Service - AKS).
• Experience with CI/CD pipelines and DevOps practices.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with specific Azure AI services like Azure OpenAI Service.
• Experience with MLOps practices and tools for deploying and monitoring AI/ML models.
• Familiarity with natural language processing (NLP) techniques.
• Contributions to open-source projects.