Top Artificial Intelligence Jobs in India
The Engineering Manager will lead a team focused on developing Large Language Models and Generative-AI applications. Responsibilities include mentoring team members, managing ML projects, collaborating across functions, and analyzing requirements. The role demands staying updated with NLP research to implement practical solutions and strategizing new ML ventures to align with business objectives.
The AI Technical Program Manager will lead the development and implementation of AI solutions, managing projects from inception to completion while ensuring timely delivery, budget adherence, and alignment with business objectives. Responsibilities include program planning, execution, risk management, stakeholder communication, and driving Agile methodologies within the team.
As a Coding Mentor for Complex AI Systems, you will guide AI models by crafting and answering computer science questions, and evaluating AI-generated code. This freelance role allows you to contribute flexibly, working remotely with top-tier organizations in AI training.
Outlier is seeking experienced software engineers to help train AI models by crafting and answering questions related to computer science and evaluating AI-generated code. This freelance role offers flexible hours and requires expertise in programming languages without a need for prior AI experience.
The Principal Data Engineer will design and architect cloud-based solutions for data analytics products, collaborate with cross-functional teams, and establish best practices in data architecture governance. Responsibilities include developing automation strategies, leading technical direction, and contributing to a strategic roadmap while handling complex data product architectures.
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The Generative AI Engineer will design, train, and customize Generative AI models for various projects involving image and text processing. Responsibilities include applying deep learning techniques, collaborating with teams, and staying updated on advancements in machine learning and artificial intelligence.
The Software Architect will design and build AI capabilities for the Conga Revenue Lifecycle Platform, focusing on high-scale production code in a multi-tenant SaaS environment. The role involves collaborating with a team to solve complex problems and contribute to core AI services essential for enhancing operational efficiencies, productivity, and accuracy for customers.
The Data Science Manager at Micron Technology will lead efforts in smart manufacturing through data science strategies and applications. Responsibilities include developing smart manufacturing applications, providing technical consulting, solving application issues, and keeping updated with data science trends. The role also involves working with teams to build machine learning models and integrating them effectively into existing systems.
The role involves designing, developing, and testing software systems in a cloud-based environment. Responsibilities include contributing to code writing, automated testing, software deployment, and maintaining documentation, while collaborating with various stakeholders. The engineer will also assist in refactoring code and debugging large-scale systems.
The Functional Consultant will design, develop, and manage analytics solutions, collaborate with global operations, troubleshoot data issues, and support analytics requests using big data and traditional systems. The role requires strong data handling skills and experience in supply chain analytics.
The Senior AI Engineer will develop and maintain scalable AI pipelines, deploy models in production, monitor and optimize AI systems, and implement version control in a fast-paced data science environment.
The AI Engineer will develop advanced AI agents for security teams, integrating models like LLama, Claude, and GPT-4 to enhance incident detection and response. Responsibilities include creating prototypes, designing anomaly detection systems, and collaborating with product and engineering teams for high-performance AI solutions.
As a Senior Generative AI Engineer, you will design and implement machine-learning algorithms to enhance 3D visualization. This role involves developing generative AI models like GANs and diffusion models, conducting research on AI advancements, and collaborating with a team to integrate these models into the platform for creating realistic content efficiently.
The Principal Engineer AI/ML at BrowserStack will design and develop data pipelines and AI models, optimize existing systems, lead AI initiatives, and uphold ethical AI practices while mentoring junior engineers.
The Architect will collaborate with AI professionals to implement digital transformation initiatives, design AI architecture, select technologies, ensure compliance with regulations, lead audits, mentor engineers, and enhance operational efficiency using AI/ML.
As an AI/ML Architect, you will design and implement advanced AI/ML solutions for various clients. Key responsibilities include developing architecture designs, leading project deployment, and evaluating AI/ML technologies. You'll mentor junior team members and stay updated on industry advancements while collaborating with sales teams to create AI/ML service offerings.
The Lead Gen AI Data Scientist at Fractal is responsible for designing and implementing advanced solutions using Large Language Models (LLMs), developing code libraries for generative AI, collaborating with teams, conducting research on AI advancements, and maintaining high code quality standards.
As a Senior System Software Engineer at NVIDIA, you'll design and implement a highly optimized AI framework for gaming applications, collaborate with developers and Microsoft on AI platforms, and ensure optimal performance through compute and memory optimizations across various inferencing stacks.
Outlier is seeking Bengali writers to assist in training AI models by ranking AI-generated responses, composing short stories, and verifying text accuracy. This freelance, remote role offers flexible working hours.
The Senior System Software Engineer will design and implement scalable, GPU-accelerated frameworks for conversational AI, focusing on Retrieval Augmented Generation (RAG) workflows. The role involves developing AI agent capabilities, analyzing system performance, collaborating with teams on product improvements, and contributing to software development practices.
Outlier seeks experienced software engineers to assist in training AI models by providing human feedback. Responsibilities include crafting questions related to computer science and evaluating AI-generated code. This freelance role allows flexible hours and is remote-friendly.
The AI/ML Architect will design and develop classical and deep learning algorithms for enterprise cybersecurity solutions. Responsibilities include creating statistical models, applying AI techniques, building production-quality systems, and collaborating with various teams on data engineering and infrastructure.
As a Principal Quality Software Engineer, you will develop testing strategies for deep learning algorithms, mentor team members, work with cross-functional teams, and enhance automation frameworks. Your focus will be on improving product quality and user experience, leveraging AI techniques and handling complex problems.
Design and develop ensemble algorithms for enterprise cybersecurity risk modeling, apply data-mining and AI techniques, build production quality solutions, drive ML infrastructure architecture, and work collaboratively with cross-functional teams.
The Data Engineer 2 is responsible for designing and maintaining data architecture, developing frameworks for data ingestion and quality control, and ensuring data integrity across various platforms. They collaborate with data analysts to align data structures with business needs while leveraging technologies for structured and unstructured data management, both on-premises and in the cloud.
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