Sr. AI/ML Developer

A well-established organization is seeking a Senior AI & Machine Learning Developer to lead the design, development, deployment, and support of enterprise AI and machine learning solutions.

This position will play a key role in expanding the organization’s use of generative AI, machine learning, intelligent agents, predictive models, and automation. The developer will own critical AI/ML platforms and integrations while partnering with business and technology stakeholders to build secure, scalable solutions that improve processes and decision-making.

This is a hands-on technical role with significant ownership and visibility across the organization.

Responsibilities

• Own the full lifecycle of AI and machine learning solutions, from architecture and development through deployment and production support.
• Design, build, and maintain AI/ML infrastructure, applications, models, and intelligent agents.
• Develop solutions utilizing Azure Machine Learning, Azure OpenAI, Azure AI Search, Python, SQL, Databricks, and related cloud technologies.
• Support agentic AI development using technologies such as Copilot Studio, Agentforce, Joule AI, Azure AI Foundry, and related integration tools.
• Identify emerging AI/ML technologies and evaluate their potential business applications.
• Build reporting and dashboards to monitor model performance, accuracy, usage, and adoption.
• Establish strong documentation around systems, models, architecture, technical decisions, and processes.
• Partner with business stakeholders to define use cases, requirements, success metrics, timelines, and implementation plans.
• Promote strong software engineering and MLOps practices, including code reviews, testing, deployment automation, model monitoring, and continuous improvement.

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related technical field.
• 4+ years of experience developing, deploying, and supporting AI/ML applications.
• Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, and generative AI solutions.
• Experience designing and deploying machine learning models, AI agents, and algorithms.
• Strong understanding of MLOps, including model versioning, automated deployment, monitoring, and lifecycle management.
• Experience with technologies such as:
• Python
• SQL
• Databricks
• Kubernetes
• Hugging Face
• Familiarity with Copilot Studio, Azure Functions, API integrations, prompt engineering, and AI agent lifecycle management.
• Strong communication, organization, problem-solving, and project management skills. xrbllit
• Ability to translate business requirements into practical AI/ML solutions.