Top Artificial Intelligence Jobs in India
Develop innovative AI solutions, clean data for machine learning, build backend systems, train machine learning models, and optimize systems for scale. Engage with clients and justify AI/ML solutions.
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.
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.
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.
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.
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 Head of Solutions Implementation will manage client relationships, lead project teams, drive business development, and mentor team members. This role involves strategic planning, contributing to the firm's methodologies, and enhancing client solutions through advanced data analysis and automation.
The Senior Software Engineer will contribute to AI/ML projects by designing, developing, integrating, deploying, and monitoring models across various media. The role emphasizes ownership, problem-solving, and independent decision-making to drive results in a fast-paced environment.
Join C3 AI as an AI Solution Architect/Senior AI Solution Architect (Post-Sales) responsible for designing, developing, and deploying custom and pre-built Enterprise AI applications using the C3 AI Platform. Engage with customers to configure and implement AI solutions, drive discussions on architecture, and collaborate with engineering teams.
Design and develop cloud-based AI applications, collaborating with cross-functional teams to implement analytics features. Maintain and deploy applications using Kubernetes, develop APIs and microservices, and ensure security compliance. Troubleshoot performance and participate in code reviews while staying current with emerging technologies.
As a Product Leader at DigitalOcean, you will design innovative products that aid developers in leveraging AI and cloud solutions. Your role involves partnering with startups, defining product performance metrics, and developing a long-term product roadmap while ensuring customer satisfaction.
The Sales Representative will focus on lead generation, appointment setting, and process improvement while conducting market research and managing data in the CRM system. They will work closely with the team to enhance sales strategies and workflows, targeting potential clients and scheduling meetings to drive revenue.
As a Generative AI and LLM Senior Specialist, you'll develop and deploy generative AI models focusing on natural language processing. Collaborating with Data and Software Engineering teams, you'll leverage tools like LangChain and oversee AI ethics while keeping up with advancements in AI technologies.
Design and implement AI/ML solutions, work with stakeholders to identify business needs, lead implementation of solutions, and ensure success and quality of AI components.
The Solutions Architect will lead the design and implementation of AI/ML solutions tailored to client needs. The role involves collaborating with sales and engineering teams, conducting technical workshops, and translating complex concepts into actionable solutions that enhance business outcomes. The candidate will also mentor junior staff and manage multiple projects effectively.
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As a Senior Solutions Engineer, you will serve as a technical advisor during the sales process, working closely with customers to implement the Databricks Lakehouse Platform. You will lead presentations and workshops, engage with clients to integrate various data technologies, and support architecture design efforts.
The AI/ML Team Lead will provide technical guidance to a team of engineers and data scientists, design scalable AI/ML solutions, oversee project execution, and cultivate a culture of learning and innovation. Responsibilities include collaboration with cross-functional teams and staying updated on AI/ML advancements.
The Senior Product Manager will develop and communicate a clear SIEM strategy, work with stakeholders to identify market requirements, partner with engineering for product delivery, and create marketing collateral. The role requires deep technical understanding and experience in product management, focusing on user-centric applications in the security domain.
The Senior Software Engineer at Shipsy will build and enhance features and tools for their AI-powered SaaS platform, working closely with company founders to support multiple businesses. Responsibilities include in-depth engineering work, ensuring product efficiency and security, and adapting to a dynamic startup environment.
As a Senior Responsible AI Engineer at NVIDIA, you will be evaluating, refining, developing, testing, and automating AI research, practices, and tools to ensure ethically responsible AI models, datasets, and software. You will contribute to shaping NVIDIA's role in ethical AI development by identifying, evaluating, and integrating software tools that promote responsible AI practices.
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