Data Scientist 4

The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.

The impact you’ll make

In this role, you will directly contribute to building scalable AI and machine learning solutions that empower our teams to make faster, smarter decisions. You’ll help shape the next generation of AI capabilities by designing modern architectures, deploying production-grade models, and driving innovation across the organization.

What You’ll Do

• Design, develop, and deploy end-to-end AI/ML and Generative AI solutions that support critical business needs.
• Build scalable machine learning architectures and evaluate modern tools, frameworks, and platforms to strengthen our data science ecosystem.
• Develop production-ready models and deliver solutions on cloud environments (preferably Azure) using strong MLOps practices.
• Partner closely with data scientists, engineers, and business stakeholders to translate business problems into technical solutions with measurable impact.
• Lead technical design discussions, guide teams through complex AI/ML challenges, and foster a collaborative innovation culture.
• Establish monitoring, governance, and fail-safe mechanisms to ensure model reliability and continuous improvement.
• Deliver rapid POCs and extract meaningful insights from diverse and complex datasets.
• Work Schedule: Standard business hours with flexibility to collaborate across teams.

• Strong programming skills in Python or R and expertise with ML/DL frameworks.
• Experience with cloud platforms (Azure, AWS, or GCP) and big-data technologies (e.g., Hadoop, Spark).
• Proven understanding of MLOps, model deployment, and ML fail-safe principles.
• Hands-on experience in leading projects using agile methodologies.
• Strong communication and stake holder management skills.

Minimum Qualifications

• 8-12 years of experience delivering enterprise-scale data science and AI/ML solutions.
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, or a related field., * Experience designing large-scale AI/ML or GenAI architectures.
• Background in building highly scalable production ML systems.
• Familiarity with advanced statistical modelling and applied machine learning techniques.

Experience guiding teams in high impact technical environments

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.