Top Artificial Intelligence Jobs in India
The Senior Director, Data Science and AI will lead AI initiatives, overseeing integration of AI and machine learning across the enterprise. Responsibilities include managing a diverse team, driving collaborative efforts, ensuring compliance with standards, and championing innovation. Candidates should be passionate about leveraging technology for business improvement.
The Applied AI/ML Lead at JPMorgan Chase will oversee local AI/ML teams, mentor members, and lead AI innovation projects. Responsibilities include executing strategic roadmaps, translating business requirements into AI/ML specifications, and ensuring timely project delivery through Agile methodology. The role requires technical judgment, collaboration, and effective communication with both technical and non-technical stakeholders.
The Senior AI/ML Engineer will advise on data science activities, lead Gen AI use cases, design and implement MLOps pipelines, and automate ML tasks. Responsibilities include model development, data quality monitoring, and project management in collaboration with various stakeholders.
As an Applied AI ML Lead at JPMorgan, you will collaborate with all lines of business to deliver software solutions and develop high-quality machine learning models. Responsibilities include designing ML solutions for financial services, collaborating with cross-functional teams, and driving innovation in banking products. Required qualifications include a degree in Computer Science or related field, expertise in ML models, and proficiency in machine learning frameworks like Tensorflow and Pytorch.
The Vice President of Artificial Intelligence and Machine Learning at JPMorgan Chase & Co. will lead strategic projects and develop data-centric solutions that drive business outcomes. Responsibilities include engaging with stakeholders, developing AI/ML solutions, collaborating with teams, and coaching team members. Preferred qualifications include a financial services background and a PhD in a relevant discipline.
The AI Model Testing Associate will focus on analyzing and validating AI models by designing and executing test cases, communicating results, and collaborating with various teams. Responsibilities include metric definition for data-driven decisions and presenting test results.
As an AI Model Tester Associate, you will analyze and validate AI model performance by designing and executing test cases, communicate with end-users for status updates, and define metrics for data-driven decisions. This role requires excellent analytical skills and proficiency in Python for scripting and testing methodologies, while also collaborating closely with operations and technology teams.
The role involves leading the execution of AI and ML models to provide data-driven insights for Pfizer's Commercial organization. Responsibilities include delivering predictive algorithms, enhancing existing capabilities, and fostering a data-driven decision-making culture by communicating insights effectively across teams.
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The Manager - Data Engineering is responsible for leading and delivering data and analytic platforms. This involves technical design, data architecture, modeling, and collaboration across multiple business units for efficient and innovative data solutions that support Pfizer's digital transformation and growth.
Join the Payment Testing Technology team at JPMorgan as a Data Scientist Associate Senior - Machine Learning Engineer. Responsibilities include executing software solutions, building secure production code, analyzing large data sets, and identifying hidden problems.
The Senior Wokato/Gen AI/UiPath Developer will automate processes using Wokato, Gen AI, and UiPath across NetSuite, Salesforce, and Workday. Responsibilities include analyzing business processes, designing workflows, and collaborating with cross-functional teams to enhance operations.
As a Senior UiPath/Gen AI Developer, you will automate processes for NetSuite, Salesforce, and Workday while analyzing business operations, designing automation workflows, and collaborating with teams to enhance efficiency and profitability.
As a Senior Product Delivery Associate in the AI Delivery team, you will lead the product strategy, develop innovative AI solutions, and collaborate with cross-functional teams to drive business impact and user satisfaction. You will define the product roadmap, manage stakeholder expectations, oversee development, and ensure quality and timely delivery of AI products.
In this role, you will build high-quality, scalable software by enforcing best practices and working closely with product owners. You will design and implement new features and products, mentor colleagues, and ensure high-quality delivery of your code from design to implementation.
Principal Engineer on ITSM team working on cutting-edge AI and ML algorithms to modernize IT Operations by reducing MTTR and MTTI, leading projects, collaborating with teams, and shaping future of AIOps.
The Senior Machine Learning Engineer will develop machine learning solutions for Warner Bros. Discovery's content and ad platform, focusing on media supply chain, captioning services, and metadata extraction. Responsibilities include building ML pipelines, utilizing data science techniques, and adhering to best practices for product maintenance and governance.
The Clinical Data Manager is responsible for supporting the study team with comprehensive documentation, database specifications, and overseeing clinical trial databases' validation and maintenance. They utilize AI and machine learning for data insights and ensure timely high-quality deliverables while complying with quality standards and regulations.
As an AI Backend Developer at Zeta Global, you will analyze data for Gen AI tasks, create AI solutions, manage API deployments, and support product teams. Your work will involve collaborating across departments to develop insights and implement improvements while integrating new developments in Gen AI into the company's data solutions.
As a Software Engineer, Backend at Notion, you will be responsible for writing clean, secure, and documented code, enhancing the Notion platform with new capabilities, contributing to monitoring and scaling the architecture, writing technical documentation, and assisting in recruiting new backend employees.
Manager role in Marketing and Market Research at Pfizer, an equal opportunity employer. Job responsibilities include leading data science and AI projects related to marketing strategies.
As a Software Engineer III at JPMorgan Chase, you will design and deliver AI and ML solutions, troubleshoot technical issues, create architecture for complex applications, analyze large data sets, and contribute to coding improvement. You will work within an agile team, focusing on technology that supports business objectives while promoting a culture of diversity.
Join the pre-sales team of AI specialists as a Solution Architect at ServiceNow. Partner with customers to create solutions in Intelligent Automation and Generative AI. Drive excellence, strategic alignment, problem-solving, collaborations, and sales support. Stay updated with industry trends, provide product training, and foster innovation in customer problem-solving using AI.
The Manager, Organizational Transformation is responsible for leading the adoption of GenAI working models and driving organizational transformation initiatives within Pfizer's Global Support & Operations. This role focuses on process optimization using Six Sigma methodologies while ensuring the successful delivery of digital transformation projects. Collaboration with internal teams and external partners is key to achieving operational efficiency and enhanced business performance.
The Manager, Organizational Transformation will lead the adoption of Generative AI working models and drive organizational transformation initiatives across the Global Support & Operations organization. Responsibilities include implementing process improvements using Six Sigma methodologies, executing digital transformation projects, and ensuring alignment with business objectives through collaboration with internal teams and external partners.
The AI Product Engineer will lead the development of Digital Assistant products utilizing machine learning and natural language processing technologies. Responsibilities include managing multiple projects, providing technical guidance, and collaborating with cross-functional teams to innovate and deliver effective AI solutions for Digital Assistants.
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