About the role
AI Systems & Model Development Contribute to building AI/ML models, including LLM-based and RAG systems, to solve customer and business problems. Implement components of AI-driven systems and workflows, translating
requirements into working solutions. Assist in transforming multi-source data into contextual intelligence and automation pipelines. Build and maintain data pipelines, ETL workflows, and training datasets for AI model development. Support deployment of models using MLOps practices (CI/CD, basic model versioning, containerized environments). Contribute to building AI-powered solutions and tools that help customers adopt AI capabilities securely and effectively. Support implementation of AI readiness metrics, telemetry, and reporting under guidance from senior engineers. Assist in integrating AI capabilities into services, APIs, and applications. Builder Mindset & Growth Collaborate with engineering, data science, and product teams to deliver AI-driven features and solutions. Participate in design discussions, code reviews, and team execution processes. Contribute to integration efforts across systems, services, and APIs. Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience building or contributing to AI/ML models or data-driven systems. Programming experience in Python or similar languages for AI development. Understanding of machine learning fundamentals and data processing workflows. Experience with LLMs, RAG pipelines, or vector databases (coursework or project experience acceptable). Exposure to MLOps practices (CI/CD, model deployment, monitoring). Familiarity with cloud platforms (Azure preferred) for AI/ML workloads. Strong problem-solving skills and ability to learn quickly in fast-evolving AI domains.
