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Top Artificial Intelligence Jobs in Pune
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 Staff Software Engineer will join the AI Services team to develop applications and APIs for enhancing Acquia's digital experience platform. They will gather requirements, design solutions, code, review PRs, ensure compliance and security, mentor team members, and contribute to the architectural vision of the platform.
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.
As a Software Engineer at Acquia, you will work on building applications and APIs centered around AI. You will collaborate with engineering teams to refine requirements, participate in code reviews, and contribute to compliance and testing efforts. The role requires rapid prototyping, experimentation, and adherence to security best practices, contributing to the overall stability and performance of the digital experience platform.
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.
The Senior Software Engineer will work with the AI Services team to develop and maintain AI services on the AWS platform. Responsibilities include collaborating with product and engineering teams, coding, conducting PR reviews, ensuring compliance with security best practices, and building prototypes. The engineer will also ensure observability of applications and understand R&D standards while participating in team collaboration.
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.
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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.
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 Senior Software Engineer will architect and develop scalable AI/ML systems, mentor junior team members, translate business requirements into data-driven solutions, and ensure compliance with industry standards. They will collaborate with AI/ML researchers and stay updated with evolving technologies to enhance the software platform.
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 AI Engineer will develop, deploy, and maintain AI-driven solutions to enhance operational efficiencies. Responsibilities include automating workflows, collaborating with IT and business teams, monitoring AI performance, and ensuring compliance with data privacy standards.
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