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
- Prospect 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 (Montreal)
🏢 Socket.dev
📍 Montreal