onsite
AI/ML Architect, MediaOS Platform - IQVIA
Software Engineer
Lead AI strategy and architecture for a high‑performance MediaOS platform, designing end‑to‑end machine learning pipelines, scalable cloud infrastructure, and intelligent decisioning across engineering, product, and data teams.
About the role
Key Responsibilities
- Define and own the AI/ML vision, architecture, and roadmap for the MediaOS platform.
- Design, develop, and deploy scalable machine learning pipelines and real‑time inference services.
- Collaborate with engineering, product, and data teams to integrate AI-driven decisioning into core platform features.
- Establish MLOps best practices, including model versioning, monitoring, and automated CI/CD on cloud infrastructure.
- Evaluate and adopt emerging technologies (e.g., deep learning frameworks, distributed processing) to maintain a competitive edge.
Requirements
- 5+ years of experience designing and implementing large‑scale AI/ML solutions, preferably in a SaaS or media‑technology environment.
- Strong proficiency in Python and modern ML libraries (TensorFlow, PyTorch, Scikit‑learn) and data processing frameworks such as Spark.
- Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Demonstrated expertise in MLOps practices, including model deployment, monitoring, and lifecycle management.
- Excellent communication and leadership skills to influence cross‑functional teams and drive architectural decisions.
Skills
pythonmachine learningdeep learningmlopsawskubernetes