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Top Artificial Intelligence Jobs in India
The AI Engineer will develop and deploy Generative AI models for healthcare, focusing on system design and MLOps pipelines. Responsibilities include mentoring team members, creating monitoring systems for ML models, and leading the technical roadmap.
You will work on AI/ML projects involving computer vision, object detection, and development of annotation tools. You'll leverage GAN and Diffusion models for generating synthetic data and fine-tuning ML models while ensuring effective API design.
As a Senior Software Engineer specializing in Gen AI Prompt Engineering, your responsibilities include developing and optimizing AI prompts for generative AI applications, collaborating with teams to integrate solutions, analyzing data for model improvements, and providing guidance to junior members.
Implement secure, scalable, and robust product features independently within Agile teams. Responsible for planning, identifying solutions, implementing features, and ensuring code quality at cloud scale. Experience in enterprise web applications and Microsoft technology stack required. Exposure to Windows Azure is desirable.
Seeking a Lead Software Engineer for the AI/ML team at Icertis to develop enterprise web applications using ASP.NET Core, ASP.NET, C#, and Python. Responsibilities include translating business objectives into product features, owning the end-to-end process, and mentoring team members. Requires 8+ years of experience and a Bachelor's degree in Computer Science or equivalent.
Design and develop enterprise-grade SaaS products using Microsoft stack on Azure. Take ownership of implementing Icertis Contract Management at customers. Evangelize best practices for security and performance. Mentor technical teams and recommend technology for successful implementation.
As a Software Engineer focused on Voice AI, you'll develop user-friendly Voice AI products using C++, collaborate with engineers on multilingual features, and tackle complex coding challenges. A native-level proficiency in Telugu is essential, alongside coding experience and a passion for software engineering and linguistics.
As an AI/ML Developer at MKS Instruments, you will design and deploy AI-driven solutions, work on web applications and scalable serverless functions on Azure, and optimize machine learning models for Natural Language Processing. The role involves collaborating with cross-functional teams and requires 3-5 years of experience in AI/ML development.
The AI Engineer II is responsible for designing, developing, and deploying AI/ML solutions to tackle complex business challenges. This includes preparing data, implementing best practices, optimizing models, and ensuring high performance of AI systems. The role also involves staying updated with AI advancements to maintain the quality of machine learning tasks.
The AI Video Editor & Ad Specialist will integrate AI video generation technologies with professional editing to craft advertising content. Responsibilities include mastering AI tools, applying video editing techniques, ensuring brand consistency, optimizing content for social media platforms, and collaborating with marketing teams to deliver high-quality video advertisements.
As a Sr. Python Developer at Ciena, you will develop micro-services and tools to support scalable software systems, collaborate with design teams, and participate in an agile development cycle while troubleshooting customer issues.
The Generative AI Research Engineer will design and build innovative AI products, focusing on high-quality user experience and engineering best practices. Responsibilities include developing AI platforms, mentoring engineers, and scaling generative AI solutions based on customer feedback.
As a Senior Staff Engineer, you will partner with enterprise clients to modernize their applications using MongoDB. This role involves implementing AI-powered solutions, collaborating with various teams, and contributing to MongoDB's product direction while tackling complex challenges in software development.
The Senior AI/ML Engineer will design and implement AI solutions using technologies like LangChain and LlamaIndex, focus on natural language processing, and contribute to open-source projects. Responsibilities also include mentoring junior engineers and optimizing AI models for cloud deployment.
The Senior Machine Learning Engineer will lead the development and deployment of ML infrastructure, providing technical leadership, mentoring junior engineers, and collaborating with data scientists to create high-quality ML solutions. The role involves project management and engagement with stakeholders to ensure successful delivery of initiatives.
Develop and optimize AI and automation solutions using Azure cloud services. Collaborate with teams to troubleshoot deployment issues and integrate applications, while applying skills in machine learning and DevOps engineering. Focus on innovative technologies to enhance business efficiency.
As a Product Manager at Instabase, you will own the product roadmap for AI capabilities, engage with customers to understand needs, define long-term strategies, prioritize requests, and collaborate with engineering and other teams to ensure smooth product launches and measurable success metrics.
In this role, you will lead a team of AI engineers and define the technical strategy for AI R&D initiatives. Responsibilities include mentoring, managing resources, overseeing development of AI accelerators, and ensuring alignment with business objectives. You'll drive innovation, evaluate emerging technologies, and establish technical standards for AI development.
As an AI Data Architect at Skypoint, you will design and implement scalable data solutions, leveraging Azure and Databricks, to enhance business intelligence and analytics. You'll develop data pipelines, ensure data quality, manage data integration, and maintain security and compliance across data projects, while mentoring data engineering teams.
Looking for a Product Manager or Senior Product Manager to focus on Unified Messaging services and communication effectiveness within the Salesforce ecosystem. Responsibilities include owning the product vision and roadmap, collaborating with engineering teams, delivering valuable products, conducting customer research, and anticipating obstacles.
As Tech Lead Manager of Applied AI Engineering, you'll lead a team to develop AI solutions that enhance customer feedback analysis. Your role includes ensuring accuracy in AI models, promoting rapid experimentation, and working cross-functionally to implement innovative AI applications.
Responsible for developing and implementing advanced AI and speech recognition technologies, optimizing LLMs, conducting data analysis, and collaborating with cross-functional teams for product enhancement.
The role involves developing proof-of-concept software for automotive vision and radar applications using the Renesas R-CAR Vx SoC. Responsibilities include prototyping and debugging related features, collaborating with engineering teams worldwide, defining KPIs, and supporting customers with application issues.
The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.
The AI/ML Lead will design and implement Natural Language Processing solutions, develop Generative AI models, and oversee machine learning model deployment. Responsibilities include collaborating across teams, mentoring engineers, and ensuring alignment with business goals while leveraging cloud platforms for scalable solutions.
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