Junior AI/ML Engineer

Step into the future of applied AI with this exciting opportunity as a Junior AI/ML Engineer. You’ll contribute to building cutting-edge AI applications such as chatbots, retrieval-augmented generation (RAG) systems, and conversational platforms using Azure AI tools, Prompt Flow, and vector search technologies.

Working under the guidance of experienced engineers, you’ll participate in real-world AI development — from data preparation and model testing to code writing and deployment pipeline support — while gaining hands-on experience with MLOps, CI/CD practices, and responsible AI principles. If you enjoy collaborating within agile teams and want to grow across the AI/ML stack, this role offers a strong foundation in scalable and ethical AI development.

Key Responsibilities:

• Assist in developing AI/ML applications using Azure AI Services, Prompt Flow, and Azure AI Search (Vector Store).
• Write clean, testable Python code and participate in peer code reviews.
• Support the implementation of automated testing and observability in CI/CD pipelines.
• Help validate and tune models to ensure quality and performance, adhering to responsible AI standards such as fairness and explainability.
• Contribute to backlog refinement, estimation, and agile ceremonies including sprint planning and retrospectives.
• Collaborate with MLOps and product teams to support the delivery of AI features.
• Promote engineering best practices and continuous improvement within the team.
• Conduct technical spikes for new initiatives under guidance.

Assist with the deployment of training and inference pipelines in Azure ML or Prompt Flow environments.

Skills and Experience:

• Degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
• 2+ years of hands-on experience with Python.
• Foundational understanding of machine learning concepts and model lifecycle.
• Familiarity with unit/integration testing and core software development principles.
• Understanding of RESTful API design and version control systems (e.g., Git).
• Exposure to microservices architecture and distributed systems.
• Experience with Agile methodologies such as Scrum or Kanban.
• Effective communication skills and ability to document technical work clearly.
• Curiosity and a proactive attitude toward learning in a collaborative engineering environment.
• Awareness of responsible AI concepts, including transparency and data ethics.
• Familiarity with Docker and containerized development environments (desirable).
• Exposure to cloud-based ML tools (Azure ML, Prompt Flow, or similar platforms).
• Understanding of vector search, embeddings, or retrieval techniques (desirable).
• Ability to assist in configuring ML pipelines and maintaining OpenAPI specifications.
• Basic knowledge of application authentication protocols (e.g., OAuth 2.0, JWT) and security best practices.

What You’ll Gain:

• Hands-on experience working with real AI/ML systems and modern cloud-native technologies.
• Exposure to end-to-end AI/ML development lifecycle in a professional setting.
• Mentorship from senior engineers and cross-functional collaboration with product, data, and DevOps teams.
• Opportunities to work on impactful and innovative AI solutions.
• A supportive work culture that values inclusion, learning, and continuous development