Our Company At Teradata we believe that people thrive when empowered with better information That s why we built the most complete cloud analytics and data platform for AI By delivering harmonized data trusted AI and faster innovation we uplift and empower our customers and our customers customers to make better more confident decisions The world s top companies across every major industry trust Teradata to improve business performance enrich customer experiences and fully integrate data across the enterprise What You ll Do Design develop and deploy AI ML models and Generative AI solutions to enhance enterprise applications CRM ERP CX Finance Build and integrate machine learning pipelines into existing business systems and workflows Collaborate with product and platform teams to identify opportunities for AI-driven automation insights and personalization Fine-tune and optimize LLMs Large Language Models and other ML models for enterprise use cases Develop APIs and microservices to expose AI capabilities to broader platforms Ensure models meet requirements for accuracy performance scalability and compliance e g FedRAMP GDPR Monitor retrain and improve deployed models using feedback loops and data pipelines Stay current with emerging AI ML tools frameworks and best practices Who You ll Work With Product Owners Business Stakeholders - Understanding use cases and defining AI feature requirements Engineering QA Teams - Integrating AI solutions into enterprise platforms and ensuring quality delivery Data Engineers Data Scientists - Collaborating on model training feature engineering and data pipelines Cloud Security Teams - Ensuring AI deployments meet compliance governance and scalability standards Global AI Automation Practices - Aligning with corporate AI strategy and innovation initiatives What Makes You a Qualified Candidate 3-6 years of experience in AI ML development or applied data science Robust programming skills in Python Java or Scala with experience in ML frameworks TensorFlow PyTorch Scikit-learn Hugging Face Hands-on experience with LLMs NLP or Generative AI solutions Familiarity with MLOps tools MLflow Kubeflow Vertex AI SageMaker Azure ML Experience with APIs microservices and integrating AI into enterprise SaaS platforms Knowledge of SQL NoSQL databases and data pipelines Spark Kafka Airflow Preferred experience with Salesforce AI ServiceNow AI or ERP AI extensions Strong problem-solving debugging and optimization skills What You ll Bring A passion for AI innovation and applying it to real-world enterprise challenges Curiosity and adaptability to learn new models frameworks and enterprise use cases Ability to balance technical depth with business value ensuring AI delivers measurable outcomes Strong collaboration skills to work with cross-functional global teams A data-driven mindset using experimentation and metrics to guide improvements Commitment to responsible AI practices bias reduction explainability compliance LI-NM1