Principal AI Specialist

What You'll Do

• Build, validate, and optimize predictive and prescriptive models for key business use cases.
• Conduct exploratory data analysis, feature engineering, and experimentation at scale.
• Translate business problems into analytical frameworks and clear model strategies.
• Evaluate model performance and drive continuous improvement.
• Work with large, complex datasets from various internal systems.
• Package and deploy models using standard MLOps frameworks (e.g., Dataiku, Sagemaker, MLflow).
• Collaborate with MLOps/DevOps engineers on CI/CD pipelines for model deployment.
• Implement basic model monitoring, versioning, and lifecycle management.
• Understand containerized deployment concepts (Docker/Kubernetes) at a functional level.
• Key skills: Expertise in Python, SQL, and common AI/ML libraries (scikitlearn, pandas, NumPy, TensorFlow/PyTorch).
• Strong foundation in mathematical modeling, statistics, and machine learning algorithms.
• Experience in crafting ML solutions end to end: problem framing → modeling → validation → deployment.
• Strong analytical thinking and experience solving non‑recurring, complex problems.
• Familiarity with model deployment workflows: packaging, APIs, job scheduling.
• Basic knowledge of CI/CD practices, automated pipelines, and model governance.
• Comfortable working with cloud platforms (AWS preferred).
• Strong foundation in Generative AI and Agentic AI based project development & deployment.
• Accountability: Ability to collaborate with data engineers, business SMEs, senior AI SMEs, and cloudops teams.
• Strong communication skills to explain models and insights to non‑technical teams.
• Willingness to mentor junior data scientists and participate in cross functional initiatives.
• Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related fields. 4+ years of applied data science experience (or equivalent).
• Demonstrated experience building and deploying ML models in real-world applications.
• Hands-on experience with data manipulation, feature engineering, and ML experimentation.
• Exposure to MLOps tools (Sagemaker, MLflow, Dataiku, etc.).
• We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
• As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
• All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
• To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date.
• Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia