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Top Artificial Intelligence Jobs in Mumbai
The Reference Data Associate will manage end-to-end change projects, ensuring the integrity and reliability of reference data. Responsibilities include strategic project support, process optimization, and delivering AI solutions in collaboration with operations and technology teams.
As Vice President of Global Data Strategy and Governance, you will develop and implement a data strategy and governance framework for the Risk Management division within Asset Wealth Management. Your role includes collaborating with stakeholders, leading teams, ensuring compliance, and driving data management initiatives to transform credit risk operations into a data-driven organization.
The Senior AI Research Engineer will design and implement solutions for natural language technologies, including paraphrasing, grammar checking, and summarization. Responsibilities include optimizing AI solutions, conducting data analysis, and contributing to AI teams. Candidates should have experience in natural language processing and machine learning, particularly with Python and deep learning toolkits.
This role involves applying innovative AI and automation solutions in the context of clinical trials to enhance efficiency and efficacy. The engineer will work with a diverse team to initiate transformative changes and deliver impactful results in healthcare.
The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.
As an Associate in the Credit Risk - Wholesale Credit Quantitative Research team, you'll apply machine learning methodologies and data science skills to improve credit risk processes. You will develop AI solutions, analyze data to drive insights, and create data visualizations for senior management, focusing on both efficiency and effectiveness in managing wholesale credit risk.
As a Senior Software Engineer at ABBYY, you will drive the end-to-end development and delivery of scalable features and systems, ensure high standards of quality and performance, and collaborate with cross-functional teams. Your role includes monitoring system reliability, conducting code reviews, and continuously improving development processes while innovating with new technologies.
The Sr Consultant-AI & Automation will design IT Operations and automation solutions by collaborating with SMEs and domain consultants. Responsibilities include assessing automation opportunities, contributing to proposals, planning sprints, and demonstrating solutions. Knowledge in ITOPS, AIOPS, automation methodologies, and RPA tools is essential, with a minimum of 4 years in IT Operations and 2 years as a Solution Architect required.
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The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.
The Senior Consultant - AI & Automation role involves assessing customer infrastructure for gaps, designing and implementing automation solutions, integrating AI and ML into workflows, and developing machine learning models. Responsibilities include collaborating with IT teams, improving existing processes, troubleshooting automation systems, and training team members.
The Lead Consultant will spearhead a team of data engineers, shaping and executing data solutions and enterprise architecture that aligns with business strategy. This role encompasses creating scalable data architectures, optimizing machine learning pipelines, ensuring security compliance, and facilitating collaboration for enhanced data analysis and decision-making.
The Consultant will assess customer infrastructures and develop automation solutions to enhance processes. Responsibilities include creating automation scripts, integrating AI and machine learning into workflows, analyzing large datasets, collaborating with IT teams for automation opportunities, and troubleshooting automation-related issues.
The Consultant for AI & Automation is responsible for assessing customer infrastructures and developing automation solutions. Key tasks include creating automation scripts, integrating AI and ML into workflows, training machine learning models, and collaborating on process improvements. The role requires proficiency in various scripting and automation platforms to enhance operational efficiency and deliver effective automation solutions.
The Consultant in AI & Automation will assess customer infrastructure, develop automation solutions, and maintain repositories of automation scripts. Responsibilities include integrating AI capabilities, training machine learning models, collaborating with IT teams, and troubleshooting issues. This role requires documenting processes and contributing to internal automation tools.
The consultant will assess customer infrastructures and business processes to identify gaps and develop automation solutions. Responsibilities include creating and maintaining automation scripts, integrating AI and ML into workflows, developing machine learning models, collaborating on automation opportunities, and documenting processes. The position requires troubleshooting automation systems and contributing to internal tools development.
The Senior Consultant will assess customer infrastructure and business processes, identify gaps, and develop automation solutions. Responsibilities include creating automation scripts, integrating AI and machine learning into workflows, and collaborating with IT teams to identify automation opportunities. The role requires troubleshooting automation systems and delivering continuous service improvements.
The Senior Consultant in AI & Automation will assess customer infrastructures to identify gaps and prepare automation solutions. Responsibilities include developing automation scripts, integrating AI and ML into workflows, training models, collaborating with IT operations, and enhancing internal tools. The role also involves documenting processes and providing training to team members.
The Manager of AI Applications will lead the development of mobile applications for iOS products. Responsibilities include translating user needs into design specifications, managing a team of mobile developers, ensuring software quality, analyzing design feasibility, and mentoring technical talent. The role requires strong leadership and technical skills to drive product development across cross-functional teams.
As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.
The AI Maestro in this role will identify AI solutions for business problems, prototype architectures, ensure project execution quality, and implement AI ethics. Responsibilities include collaborating with leaders, managing projects, and improving delivery processes.
The Generative AI Engineer will design and deploy advanced AI models for generating content in various formats, fine-tune pre-trained models, work with large datasets, and collaborate with teams on AI solutions. They will also stay updated with AI advancements and contribute to research and innovation.
As a Software Senior Engineer, you will design and implement enhancements for Boomi AI Connectors, ensuring high quality and meeting business goals. You'll collaborate with cross-functional teams, mentor junior engineers, and investigate defects to provide solutions, all while adhering to Agile software development practices.
The job involves owning and building large areas within AI data management software, participating in the entire product lifecycle, and quickly learning new technologies as needed. You’ll work on developing tools for managing unstructured data at scale, contributing to open-source solutions, and collaborating with a remote team.
The Software Developer Specialist at LRN is responsible for designing and implementing solutions to enhance virtual assistant capabilities, focusing on Generative AI and LLMs. Collaborating with teams, you will improve application performance and implement features for LRN’s products while working closely with data scientists to leverage data for business insights.
As a Senior AI Product Engineer, you will develop and optimize Large Language Models for AI products, collaborating with cross-functional teams to drive initiatives in decentralized and centralized finance. Responsibilities include designing LLM-based systems, prompt engineering, and integrating models into Agentic platforms.
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