Urwah Admin

Moody's

<div><p>At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.</p><p>
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.</p>
<p><b>
Skills and Competencies</b></p><ul><li>
1&ndash;3 years&rsquo; experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets</li><li>
Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use</li><li>
Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows</li><li>
Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development</li><li>
Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets</li><li>
Strong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs</li><li><div>
Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies</div></li><li><div>
Ability to communicate technical concepts clearly to non‑technical stakeholders</div></li><li>
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency</li><li>
Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use</li></ul><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, or a related field</li></ul><p><b>
Responsibilities</b></p><p>
Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery.</p><ul><li>
Develop and execute processes to monitor, manage, and improve data quality across datasets</li><li>
Design and implement data deduplication frameworks to improve data accuracy and usability</li><li>
Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency</li><li>
Collaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needs</li><li>
Support stakeholders by delivering data insights and responding to data-related queries</li><li>
Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability</li><li>
Maintain best practices in data governance, data modeling, and pipeline optimization</li></ul><p><b>
About the Team</b></p><p>
Our Data Estate team is responsible for delivering high-quality, mission-critical data that powers decision-making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries.</p>
<p>
Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.<br>
<br>
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.</p></div>

Senior Data Specialist

<div><p>At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.</p><p>
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.</p>
<h4 class="jobSectionHeader"><b>
Skills and Competencies</b></h4><ul><li>
3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems</li><li>
Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies</li><li>
Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production</li><li>
Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices</li><li>
Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval</li><li>
Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred</li><li>
Excellent problem-solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals</li><li>
Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams</li></ul><h4 class="jobSectionHeader"><b>
Education</b></h4><ul><li>
Bachelor&rsquo;s degree or higher in Computer Science, Software Engineering, or a related field.</li></ul><h4 class="jobSectionHeader"><b>
Responsibilities</b></h4><p>
As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js &amp; Python, while also integrating machine learning workflows and AI-driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities</p><ul><li>
Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents</li><li>
Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning</li><li>
Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems</li><li>
Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI<br>
Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads</li><li>
Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems</li><li>
Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models</li><li>
Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments</li><li>
Participate in design reviews, write high-quality code, and contribute to documentation to ensure team-wide efficiency and maintainability</li><li>
Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes</li></ul><p><b>
About the Team</b></p><p>
Our Innovation team is responsible for building internal and external solutions leveraging cutting-edge machine learning technology, including LLMs, AI Agents and NLP</p><p>
The group is made up of a diverse set of professionals spanning a wide range of experience levels. We&rsquo;re organized into agile squads, each focused on building and scaling innovative AI-driven products that enhance productivity and deliver measurable value</p><p>
Collaboration is a cornerstone of how we operate. Engineers and data scientists work closely together to experiment, iterate, and deploy solutions in a fast-paced environment. Joining our team means contributing to an open and supportive culture where learning and knowledge-sharing are encouraged, and where every team member has the opportunity to make a tangible impact</p>
<p>
Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.<br>
<br>
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.</p></div>

AI Software Engineer

Join Moody's and explore 2   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.

Moody's

About Company

Senior Data Specialist

AI Software Engineer