The candidate will own, build, and scale their own startup within the Applied AI field. Responsibilities include iterating the product to reach product-market fit and building a sales and marketing engine.
Remote Artificial Intelligence Jobs (6,066)
Search = ai
Job category = Software Development
AI Architect and Java Software Architect (100% Remoto)
knowmad mood
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Full Time
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Yesterday
knowmad mood
Act as the technical lead for high-value services, defining strategic plans and implementing architectures for digital transformations. Provide expert guidance to clients on Generative AI implementation, including POCs, MLOps, and LLMs, while supporting business development and training.
Architect and deliver production-ready enterprise AI systems, focusing on multi-agent and RAG pipelines. Lead pre-sales activities including discovery workshops, POCs, and C-level presentations.
Lead a cross-functional team to design and deliver scalable, production-ready Generative AI solutions. Provide technical leadership and architectural guidance while aligning AI strategies with business goals.
VP Operations - AI Trainer - Freelance - 8-20 hrs/week - Remote
10x Team
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Full Time
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2 Days Ago
10x Team
Review and enhance AI-generated content regarding operations strategy, process optimization, and resource management. Develop practical operational cases and provide actionable feedback to improve AI reasoning and decision-making.
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Design, build, and maintain complex automation workflows using n8n to eliminate manual work. Implement specialized AI agents and integrate various tools via APIs to ensure seamless data flow.
AI Data Infrastructure Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design and operate large-scale data pipelines to support AI training, evaluation, and multimodal data ingestion. Focus on implementing data cleaning, quality assurance, and high-throughput delivery systems to maximize GPU utilization.
AI Research Engineer (Applied AI)
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design and deploy advanced machine learning systems that bridge the gap between applied research and production engineering. Responsibilities include prototyping AI solutions across various domains and optimizing models for accuracy, latency, and cost.
AI Data Infrastructure Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design and operate large-scale data pipelines to support AI training, evaluation, and multimodal data ingestion. Focus on implementing data cleaning, quality assurance, and high-throughput loading systems to maximize GPU utilization.
AI Infrastructure Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design, build, and operate the platform layer for large-scale AI training and inference workloads. Focus on GPU clusters, resource scheduling, and high-performance storage to maximize accelerator utilization.
AI Performance Optimization Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Optimize end-to-end AI training and inference pipelines to maximize throughput and minimize latency and cost. Implement advanced techniques like quantization, distributed training, and compiler-level optimizations to improve large neural network systems.
AI Infrastructure Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design, build, and operate the platform layer for large-scale AI training and inference workloads, focusing on GPU clusters and distributed frameworks. Ensure reliability, efficiency, and cost control while optimizing storage and networking for ML engineers.
AI Data Infrastructure Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design and operate large-scale data pipelines and ingestion systems for diverse modalities to power AI training and evaluation. Focus on data cleaning, deduplication, and high-throughput delivery to maximize GPU utilization.
AI Performance Optimization Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Optimize end-to-end AI training and inference pipelines to maximize throughput and minimize latency and cost. Implement advanced techniques like quantization, distributed training, and compiler-level optimizations to improve large neural network systems.
AI Performance Optimization Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Optimize end-to-end AI training and inference pipelines to maximize throughput and minimize latency and cost. Implement advanced techniques like quantization, sparsity, and distributed training strategies across the full stack.
AI Infrastructure Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design and operate the platform layer for large-scale AI training and inference workloads, focusing on GPU clusters and distributed frameworks. Implement high-performance storage, networking architectures, and observability tools to ensure reliability and cost-efficiency.
AI Performance Optimization Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Optimize end-to-end AI training and inference pipelines to maximize throughput, minimize latency, and reduce costs. This includes implementing model compression strategies and tuning distributed systems across the full stack from kernels to system-level orchestration.
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AI Research Engineer (Applied AI)
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design and deploy advanced machine learning systems that solve high-impact business problems across various data domains. Bridge the gap between applied research and production engineering by building scalable training and inference pipelines.
AI Data Infrastructure Engineer
Bright Vision Technologies
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Full Time
·
2 Days Ago
Bright Vision Technologies
Design and operate large-scale data pipelines to support AI training, evaluation, and multimodal data ingestion. Focus on implementing data cleaning, quality assurance, and high-throughput loading systems to maximize GPU utilization.
AI Research Engineer (Applied AI)
Bright Vision Technologies
·
Full Time
·
2 Days Ago
Bright Vision Technologies
Design and deploy advanced machine learning systems that bridge the gap between applied research and production engineering. Responsibilities include building scalable training and inference pipelines and optimizing models for accuracy, latency, and cost.
Lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. Focus on defending against LLM-specific risks such as prompt injection, model abuse, and data exfiltration.
Lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. Focus on defending against prompt injection, model abuse, and securing training data pipelines.
AI Research Engineer (Applied AI)
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design, prototype, and deploy advanced AI solutions across natural language, vision, and recommendation domains. Bridge the gap between applied research and production engineering by building scalable ML pipelines and optimizing models for accuracy and latency.
Lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. Focus on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLM workflows.
Lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. Focus on mitigating risks such as prompt injection, model abuse, and data exfiltration in LLM-powered applications.
Design and deploy optimized machine learning models for resource-constrained edge devices and embedded systems. Implement model compression techniques and build cross-platform inference runtimes to ensure efficiency in latency and energy consumption.
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Design and deploy optimized machine learning models for resource-constrained edge devices and embedded systems. Implement model compression techniques and build cross-platform inference runtimes to ensure efficiency in latency and energy consumption.
Design, optimize, and deploy machine learning models on resource-constrained edge devices such as mobile platforms and embedded systems. Implement model compression techniques and build cross-platform inference runtimes to ensure efficiency in latency, energy, and memory.
Design, optimize, and deploy machine learning models on resource-constrained edge devices and embedded systems. Develop cross-platform inference runtimes and hybrid edge-cloud architectures while maintaining technical documentation.
Senior Technical Program Manager, AI Execution Architecture
Microsoft
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Full Time
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2 Days Ago
Microsoft
Own end-to-end delivery of complex AI technical programs by partnering with engineering and product teams to ensure release readiness. Drive technical execution at scale using AI-augmented tools to automate workflows and define new program management frameworks.
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