Urwah Admin

Teradata

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.
 
Strong 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

Enterprise Technology - AI Engineeer

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, build, and optimize data pipelines to support AI/ML and analytics use cases across enterprise platforms (CRM, ERP, GCS, Finance).
 
Collaborate with Data Scientists to prepare and transform datasets for model training, validation, and deployment.
 
Implement ETL/ELT processes for structured and unstructured data from multiple enterprise systems (Salesforce, ServiceNow, ERP, etc.).
 
Build scalable data storage and processing solutions leveraging cloud platforms (Azure, Teradata Vantage).
 
Deploy and operationalize ML models into production, ensuring performance, monitoring, and retraining.
 
Apply MLOps practices (CI/CD for ML) to streamline deployment, versioning, and governance of models.
 
Ensure compliance with data security, privacy, and governance frameworks (GDPR, FedRAMP, SOX).
 
Continuously evaluate new tools and frameworks to improve data quality, model performance, and pipeline efficiency.
 
Who You’ll Work With
 
Data Scientists – Collaborating to provide clean, usable data and production-ready ML pipelines.
 
Product Owners & Business Analysts – Understanding business requirements and aligning data/ML solutions with enterprise needs.
 
Engineering & QA Teams – Integrating ML outputs into SaaS platforms and validating end-to-end workflows.
 
Cloud & Security Teams – Ensuring data/ML pipelines are secure, compliant, and scalable.
 
Enterprise and Product Analytics Practices – Driving alignment with enterprise AI/ML strategies and best practices.
 
What Makes You a Qualified Candidate
 
3–6 years of experience as a Data Engineer or ML Engineer, preferably in SaaS/enterprise environments.
 
Strong programming skills in Python, SQL, and Scala/Java.
 
Experience with data processing frameworks (Spark, PySpark, Hadoop, Kafka, Airflow).
 
Proficiency with cloud data platforms (Teradata Vantage, AWS Redshift, Snowflake, BigQuery..).
 
Hands-on experience with ML deployment tools (MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).
 
Familiarity with APIs, microservices, and integrating ML into enterprise workflows.
 
Strong knowledge of database design, data modeling, and performance optimization.
 
Preferred: Experience supporting enterprise SaaS platforms (Salesforce AI, ServiceNow AI, ERP).
 
What You’ll Bring
 
A data-driven mindset and strong problem-solving skills.
 
Curiosity and adaptability—keeping pace with rapidly evolving AI/ML and data engineering tools.
 
Ability to collaborate across global, cross-functional teams.
 
Strong debugging and optimization skills for large-scale data systems.
 
A commitment to responsible data practices (data quality, privacy, governance).
 
Ownership mentality—ensuring data pipelines and ML workflows deliver business value.
 
#LI-NM1

Enterprise Technology - Data/ML Engineer

<div>
 Senior Content Strategist, Notebooks
 
 
 
 Location:
 
 Remote
 
 
 
 Requisition Number: XXXXXX
 
 
 
 
 Job Category: Product
 
 
 
 
 Our Company
 
 
 
 At Teradata, we believe people thrive when empowered with better information. That&rsquo;s why we built the most complete analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;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&rsquo;ll Do
 
 
 
 In this role, you&rsquo;ll be the lead data scientist and technical content strategist working on native notebooks for Teradata products.
 
 
 <ul>
 <li>
 You&rsquo;ll put your strong writing skills to work, crafting notebooks (like Google Colab and other Jupyter Notebooks) to bring clarity and powerful functionality to Teradata product experiences.
 </li>
 <li>
 You&rsquo;ll collaborate with designers, content strategists, product managers, and engineers to plan, structure, write, and improve notebooks.
 </li>
 <li>
 In various notebooks and other touchpoints in the experience, you&rsquo;ll identify where AI can automate and simplify customer tasks, based on the customer&rsquo;s data, market, analytics functions, and other factors.
 </li>
 <li>
 You&rsquo;ll coordinate your efforts with product managers, engineers, an information architect and other subject matter experts across the company.
 </li>
 <li>
 And you&rsquo;ll be an advocate and expert for product notebooks at Teradata, helping shape the content strategy for how notebooks help Teradata customers get their jobs done.
 
 
 </li>
 </ul>
 Teradata is establishing a bold vision for our product content: modern, customer-focused, and measurably effective. You&mdash;and the notebooks experiences you create&mdash;will help us make that vision real.
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 <ul>
 <li>
 You&rsquo;ll collaborate with some of the leading scientists, AI innovators, and other experts in the field of data analytics. You&rsquo;ll become an expert in translating their visionary ideas into clear, findable, useful content that helps customers succeed.
 </li>
 <li>
 Reporting to the Director of Content Strategy, you&rsquo;ll be part of a team of content designers and technical content strategists who simplify complex ideas and workflows and create valuable, intuitive customer experiences.
 </li>
 <li>
 You&rsquo;ll coordinate your writing with designers, product managers, engineers, and other team members who work to design and deliver product experiences and documentation.
 </li>
 <li>
 You&rsquo;ll be a collaborative, resourceful partner for the business as it discusses plans for notebooks throughout Teradata, and you&rsquo;ll team with design and product colleagues to help deliver content strategy and design that boosts those plans to success.
 
 
 </li>
 </ul>
 
 What Makes You a Qualified Candidate
 
 
 
 <ul>
 <li>
 Familiarity with data science and how enterprises use it to guide and grow their business, including knowledge of common tasks and tools for data analytics, such as Python, R, and SQL.
 </li>
 <li>
 Strong writing and other communication skills, key to helping bring simplicity and usefulness to data analytics functions.
 </li>
 <li>
 Knowledge of emerging trends and tools in AI&mdash;and how we might tap into those tools to automate tasks and present new interactions that help customers reach their goals.
 </li>
 <li>
 Awareness of information architecture and how we can use it to structure notebooks to be findable, useful, and clear.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 You&rsquo;re a good writer. You might even have examples of your writing that show how you simplified complex ideas and processes.
 </li>
 <li>
 You&rsquo;re a data scientist or software developer. You understand the power of data and want to help others tap into it with clear, simple tools.
 </li>
 <li>
 You&rsquo;re curious and keep learning, especially when it comes to areas like content strategy, data science, and how AI can enhance them both.
 </li>
 <li>
 Experience working on SaaS-based initiatives and/or companies.
 </li>
 <li>
 Strong organizational skills and can handle balancing multiple questions, requirements, and projects at the same time.
 </li>
 <li>
 Strong interpersonal skills that are used to build rapport and make connections easily with colleagues and customers.
 </li>
 <li>
 Ability to navigate and succeed in a complex, undefined problem space.
 </li>
 <li>
 A sense of humor and the desire to help people and do good things.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Senior Technical Content Strategist, Notebooks

Join Teradata and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Teradata

ABOUT_COMPANY

Enterprise Technology - AI Engineeer

Enterprise Technology - Data/ML Engineer

Senior Technical Content Strategist, Notebooks