Top Artificial Intelligence Jobs in India
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.
Design and implement cutting-edge generative AI systems using Azure cloud services and OpenAI technologies. Proficient in Python and AI frameworks. Extensive experience with embeddings and vector space models. Lead interdisciplinary teams and uphold ethical AI standards. Stay updated on emerging trends in AI technologies.
The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.
The Senior Software Engineer at NewRocket will lead and mentor a team in developing ITAM, ITSM, and integration solutions using ServiceNow. Responsibilities include coding, testing, debugging, and implementing enhancements while collaborating with project teams to ensure successful delivery of customer projects.
Design, develop, and maintain cutting-edge AI solutions using Generative AI and Machine Learning. Extensive experience in algorithms, statistics, natural language processing, machine learning, deep learning, and data mining. Develop and promote machine learning models, design and integrate applications with internal and third-party API services. Requires 6+ years of experience and a Bachelor's degree in Computer Science or equivalent.
Lead groundbreaking research in Generative AI, develop algorithms for conversational AI, collaborate with cross-functional teams, mentor junior researchers, stay updated on advancements in AI research.
The Senior Product Analyst will evaluate product changes, design experiments, analyze results through A/B testing and causal inference, identify growth points, and maintain product dashboards. Required skills include strong analytical expertise, proficiency in Python and SQL, and experience with BI tools.
As a Generative AI Engineer at Mactores, you will design, develop, and deploy advanced generative AI models for tasks in image, text, and speech generation, while collaborating with teams to implement AI solutions and optimize model performance in production environments.
As a Senior Embedded AI/ML Engineer at Aptiv, you will develop AI-focused perception systems, integrate algorithms for AI SoCs, and collaborate with experts to enhance ADAS and AD features. Your role involves optimizing code and supporting hardware selection, contributing to the automotive industry's innovation in safety and mobility.
As a Senior Fullstack Engineer, you will lead projects from ideation to final product, mentoring junior engineers and collaborating with product managers and designers to create innovative AI-driven software solutions for legal automation. Your contributions will significantly impact the negotiation landscape for businesses.
This role involves supporting AI training by reading and assessing Russian text, writing Russian content, and ranking AI-generated responses. Candidates will utilize their Russian writing skills to help enhance AI models and contribute valuable feedback.
Outlier seeks experienced physics experts to provide feedback for training AI models. Responsibilities include assessing the accuracy of AI-generated text, crafting and answering physics-related questions, and evaluating responses produced by the AI to enhance its performance.
The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.
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