[Remote] AI/ML Architect– MediaOS Platform

Note: The job is a remote job and is open to candidates in USA. IQVIA Digital is a leading provider of advanced analytics and AI solutions for the healthcare industry. They are seeking a visionary AI/ML Architect to lead the development of intelligent capabilities within their MediaOS Platform, focusing on AI strategy, architecture, and execution.

Responsibilities

• Architect and design end-to-end AI/ML solutions for the MediaOS platform, including:
• Personalization and recommendation systems
• Targeting and optimization models
• Forecasting and advanced analytics
• Define and implement scalable ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
• Lead the design of cloud-native, distributed AI systems leveraging modern frameworks and high-performance computing environments
• Partner with product, data engineering, and platform teams to translate business requirements into robust AI-driven solutions
• Establish and enforce MLOps best practices, including CI/CD, model versioning, observability, governance, and lifecycle management
• Evaluate and integrate emerging AI technologies, including Generative AI, LLMs, and NLP applications where applicable
• Drive data strategy alignment, ensuring high-quality, well-governed datasets to support model development and scalability
• Mentor and guide engineers and data scientists, fostering a culture of innovation, collaboration, and technical excellence
• Architect secure AI platforms, including authentication and authorization models (e.g., RBAC, ABAC)

Skills

• 8+ years of experience in AI/ML, Data Science, or related fields
• Proven track record of designing and deploying production-grade ML systems at scale
• Strong programming expertise in Python (preferred) and/or Java/Scala
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn
• Deep understanding of data architecture, distributed systems, and cloud platforms (AWS, Azure, or GCP)
• Experience with real-time and batch processing systems
• Strong knowledge of MLOps tools, frameworks, and lifecycle practices
• Experience designing secure AI systems, including authentication and authorization frameworks (RBAC, ABAC)
• Experience in media, advertising, marketing analytics, or audience platforms
• Hands-on experience with personalization, recommendation engines, or optimization models
• Familiarity with Generative AI, LLMs, and NLP applications
• Experience building data-driven platforms or products
• Strong communication and stakeholder management skills, with the ability to influence both technical and business audiences

Benefits

• Incentive plans
• Bonuses
• Other forms of compensation
• A range of health and welfare and/or other benefits
• Flexible work environment – Fully remote with optional access to our Austin office

Company Overview

Company H1B Sponsorship