Top Artificial Intelligence Jobs in India
The SAP AI Solutions Expert will drive AI initiatives to enhance SAP-based processes, develop and integrate AI solutions within SAP S/4HANA, optimize business workflows, and lead related projects. Responsibilities include providing technical guidance, data management, system customization, project oversight, training, and ensuring compliance with standards and security measures.
Join the AI Developer Assistant team as a Senior Software Engineer, focusing on developing a Generative AI-powered agent to automate developer tasks. Responsibilities include designing and implementing features, developing integrations with AI and cloud systems, and collaborating across teams for scalable AI services.
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.
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The AI/ML Architect will develop automation and DevOps methodologies for scalable AI and ML infrastructure, engage with clients to address their needs, and maintain technical documentation. They will focus on generative AI systems and leverage AWS tools and services.
The AI/ML Ops Engineer designs, builds, and deploys machine learning models, conducts model training and evaluation, implements them in production, collaborates with data scientists, monitors post-deployment performance for safety, ensures compliance with medical device regulations, and addresses patient privacy concerns.
As a Senior AI Engineer at Cerence, you will design, develop, and optimize LLM algorithms for automotive embedded systems. Collaborate with teams to integrate LLMs, conduct rigorous testing, stay updated on ML advancements, and enhance performance and capability of automotive AI applications.
In this role, the Technical Lead will write high-quality C# code within the .NET stack, ensure thorough testing coverage, participate in software design discussions, and conduct code reviews. The position requires cloud infrastructure experience and a strong capability in microservices development and deployment, alongside excellent communication skills.
As a Lead Product Manager at interface.ai, you will define product requirements and create a product vision based on market research. You will perform competitor and product analyses, prioritize product rollouts, and collaborate closely with engineering and marketing teams to enhance user experience and product adoption.
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As SVP of Operations (AI), you will lead the client-delivery function, overseeing a team of managers and agents. Responsibilities include strategic planning, financial management, and designing scalable operations. You'll work cross-functionally to align with various departments and drive the company's growth in delivering AI solutions.
The DES Pre Sales Consultant will assist the sales team by qualifying leads, responding to RFIs and RFPs, and developing proposals that showcase service offerings. The role involves collaboration with delivery and marketing teams to enhance customer engagement and drive demand-generating activities, while ensuring marketing materials are current.
As a Senior AI/ML Engineer, you will design and implement AI/ML models, collaborate with teams to integrate solutions, analyze datasets, optimize models, and stay updated with advancements. Your role includes mentoring junior members and maintaining deployed models.
The Principal Software Engineer will lead the development of advanced search solutions at Walmart, utilizing technologies like Elastic Search and OpenAI. Responsibilities include architectural planning, project leadership, collaboration with cross-functional teams, and guiding junior engineers while ensuring code quality through test-driven practices.
The Sr Engineer AI/ML will contribute to engineering decisions and lead initiatives in AI and Machine Learning within the Innovation Lab. Key responsibilities include developing solutions, designing CI/CD pipelines, adapting security practices, and collaborating across teams to ensure innovations meet business needs.
The Gen AI Specialist will design, develop, test, and deploy machine learning models with a focus on language models. Responsibilities include working with Generative AI technologies, handling projects independently, leading teams, and collaborating with research teams to build AI/ML/NLP solutions. Candidates should have strong experience with state-of-the-art algorithms and a background in NLP tasks.
The Full Stack Engineer will develop an AI-powered agency management system, focusing on frontend and backend components, integrating AI models, ensuring system scalability and security, and collaborating with cross-functional teams.
As a Generative AI Engineer at QRT, you will design and deploy advanced AI models, collaborating with teams to solve complex issues in investment management. Your role includes optimizing large language models and processing large datasets while utilizing advanced AI techniques to enhance performance.
The Staff Software Engineer will design and develop software solutions for Generative AI projects, implement automated tests, manage cross-time zone communications, and ensure software quality through testing and code reviews. The role requires strong collaboration with stakeholders, mentoring team members, and delivering code efficiently in an agile environment.
The AI Engineer will develop, implement, and optimize machine learning algorithms and AI systems, collaborate with cross-functional teams, and focus on creating user-friendly AI solutions. Responsibilities include tool development, model design, integration, and continuous improvement based on user feedback.
The AI Engineer is responsible for developing and optimizing machine learning algorithms and AI systems. This role involves creating scalable AI solutions, working with data processing, model design, and integration, collaborating with cross-functional teams to deliver impactful AI tools for business.
The AI Engineer will develop, implement, and optimize machine learning algorithms and AI systems. Responsibilities include tool development, model design and optimization, integrating AI models, data processing, and focusing on user-centric development while collaborating with cross-functional teams.
An AI Engineer will develop, implement, and optimize machine learning algorithms and AI systems, collaborating with cross-functional teams to create scalable solutions that offer business value.
Outlier seeks experienced software engineers to provide coding expertise for AI training. Responsibilities include crafting questions related to computer science and evaluating code generated by AI models. Flexible hours for remote work.
The Lead AI/ML Engineer will design AI/ML strategies and standards, mentor team members, and engage in development processes including model deployment in AWS services. Responsibilities include risk management, code reviews, and development of reusable libraries.
As a Senior Engineer specializing in generative AI, you will design and develop AI models, lead the training of large language models, collaborate with cross-functional teams, and mentor junior engineers while advancing AI technologies.
Lead the development of ML infrastructure, providing technical leadership and mentoring to a team, ensuring high quality standards from model inception to deployment, and collaborating with data scientists for optimized data pipelines. Implement best practices for model versioning and evaluate model performance while maintaining industry standards.
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