2 Gen-Ai Tools Jobs

At Moody&aposs, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 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. Job Title: Business Analyst Entity: Moodys Ratings Line of Business/Department: MR Research & Outreach / Research Content Management Location: Bangalore Full Time / Part Time: Full Time Reporting to: Manu Mohan Skills And Competencies Experience: 58 years in a Business Analyst or equivalent role with a strong track record & proficiency in business analysis, requirements gathering & documentation including user stories, stakeholder management across business & technology, identifying areas for improvements through business driven solutions, leading & managing product / platform implementation projects. Technical Skills: Familiarity with tools like JIRA, Confluence, or similar for managing business requirements user stories and project documentation. Intermediate prototyping skills will be desirable. Communication Skills: Excellent verbal and written communication skills for effective stakeholder interaction and documentation. Stakeholder Management: Experience in engaging and managing various stakeholders to gather and prioritize requirements. Adaptability and Flexibility: Ability to adapt to changing business environments, processes, practices and priorities. Knowledge & usage of Gen-AI tools in business requirements processes will be preferred Education Bachelor&aposs degree or higher in Computer Science, Information Technology, or a related field. Responsibilities Drive product & platform implementation, improvements, manage requirements, and enhance content authoring & publishing experience through stakeholder collaboration, user story development, and strategic alignment. Requirement Gathering: Collaborate with stakeholders to gather, analyze, and document business requirements and user needs. User Story Development: Translate business requirements into detailed user stories and specifications for the development team. Stakeholder Engagement: Act as the liaison between business stakeholders, product strategy and the project development team, ensuring that requirements are communicated effectively. Backlog Management: Work with product owners and development teams to prioritize and manage the product backlog. Sprint Planning and Grooming: Participate in sprint planning and grooming sessions to ensure user stories are ready for implementation. Mentoring: Guide, mentor & work closely with junior team members to ensure quality of work & deliver timelines are achieved Quality Assurance: Assist in defining acceptance criteria and participate in basic testing to ensure solutions meet business needs. Business Process Improvement: Identify opportunities for process improvements and recommend solutions to enhance business outcomes. Strategic Alignment: Ensure that project deliverables are aligned About The Team Our Research Data & Process Management part of the Research Content Management group is responsible for the strategy, design & delivery of modernized content management products thereby enabling easier & timely production of content in formats that meet the evolving needs of our content creators & consumers. This team is key & critical in enabling the Research Digitalization journey for Moodys with a broader goal to help expand the depth & breath of the content coverage through intelligent & efficient products. By joining our team, you will be part of the Research Digital content enablement space focusing on building the right products. If you are passionate about business analysis, product enablement, and want to make a meaningful impact on Moodys ability to deliver trusted Research, we would love to hear from you. Join us in our mission to maintain Moodys reputation as the agency of choice through excellence in business process & product management. Moodys 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. Candidates for Moody&aposs Corporation may be asked to disclose securities holdings pursuant to Moodys 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. Show more Show less

Role & responsibilities You will be embedded within a team of machine learning engineers and data scientists; responsible for building and productizing generative AI and deep learning solutions. You will: Design, develop, and evaluate generative AI models for vision and data science tasks. Collaborate with cross-functional teams to integrate AI-driven solutions into business operations. Build and enhance frameworks for automation, data processing, and model deployment. Develop and deploy AI agents, including Retrieval-Augmented Generation (RAG) systems. Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions. Conduct research and stay updated with the latest advancements in generative AI and related technologies. REQUIREMENTS: B. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math. At least 8 years of working experience in data science, computer vision, or related domain. Proven experience with building and deploying generative AI solutions. Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP. Experience with Gen-AI tools and workflows. Proficiency in both vision-related AI and data analysis using generative AI. Experience with cloud platforms and deploying models at scale. Experience with transformer architectures and large language models (LLMs). • Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face. • Proven leadership and team management skills. DESIRED SKILLS: • Working experience with AWS is a plus. • Knowledge of best practices in software development, including version control, testing, and continuous integration. • Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc. • Experience with MLOps tools and practices for continuous deployment and monitoring of AI models.