AI Engineer – Media OS Engineering

Job Overview

IQVIA Media OS Engineering is seeking a talented and motivated

AI Engineer to join our growing team. This role is ideal for individuals with

2–4 years of experience who are passionate about applying artificial intelligence and machine learning to solve complex, real-world problems.

As an AI Engineer, you will work in a collaborative and fast-paced environment alongside an AI Architect, Data Scientists, and Senior AI Engineers to design, build, and deploy scalable AI/ML solutions powering our next-generation media platform.

Key Responsibilities

Design, develop, and optimize machine learning models and AI algorithms

Collaborate with cross-functional stakeholders to translate business requirements into scalable AI solutions

Build and integrate ML models into production systems, APIs, and applications

Perform data preprocessing, feature engineering, and model validation

Conduct model experimentation, tuning, and performance optimization

Support deployment, monitoring, and lifecycle management of models in production

Write clean, scalable, and maintainable code following engineering best practices

Contribute to the development of reusable ML components and frameworks

Stay current with emerging AI/ML technologies, tools, and industry trends

Required Qualifications

Bachelor’s or Master’s degree in :

Computer Science

Engineering

Data Science or a related field

2–4 years of experience in :

AI/ML Engineering, or

Software Engineering with exposure to machine learning

Strong programming expertise in :

Python

Experience with at least one ML framework:

TensorFlow

PyTorch scikit-learn

Solid understanding of machine learning concepts:

Model training and evaluation

Overfitting and regularization

Feature engineering

Hands-on experience with:

Data processing and transformation

Feature engineering techniques

Familiarity with

REST APIs and microservices architecture





Cloud platforms (AWS, Azure, or GCP)

Strong

Analytical and problem-solving skills

Communication and collaboration skills

Preferred Qualifications

Experience working with

Large Language Models (LLMs)

Natural Language Processing (NLP)

Recommendation systems

Exposure to MLOps practices, including:

CI/CD pipelines

Model deployment and monitoring

Familiarity with big data technologies:

Apache Spark

Databricks

Why Join IQVIA Media OS Engineering

Work on cutting-edge AI/ML solutions in a high-impact, data-driven domain

Collaborate with experienced AI architects and engineering leaders

Gain exposure to large-scale, production-grade AI systems

Opportunity to contribute to innovative, next-generation media platforms

Be part of an inclusive, collaborative, and innovation-driven culture

Career Growth

This role offers a strong foundation for early-career engineers to:

Build deep expertise in AI/ML systems at scale

Learn from senior engineers and architects

Progress into Senior AI Engineer and advanced technical roles

Expand into specialized areas such as MLOps, LLMs, and platform engineering

Évolution de carrière

Ce poste offre une base solide pour les ingénieurs en début de carrière souhaitant :

Développer une expertise approfondie en systèmes IA/ML à grande échelle

Apprendre auprès d’architectes et ingénieurs seniors

Évoluer vers des postes d’ingénieur IA senior et rôles techniques avancés

Se spécialiser dans des domaines tels que MLOps, LLMs ou ingénierie de plateforme The potential base pay range for this role, when annualized, is $98,700.00 - $164,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and wellness and/or other benefits.

📌 AI Engineer, IQVIA Digital/Ingénieur en Intelligence Artificielle, IQVIA Digital (Kirkland)
🏢 Socket.dev
📍 Kirkland