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Build and scale production LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-grade AI in Azure.
Build and scale production-grade LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-ready AI in Azure.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Builds and maintains large-scale data platforms (storage, streaming, indexing) that power AI models via human feedback and evaluation systems.
Owns end-to-end delivery of enterprise AI programs, aligning engineering, product, and executives while managing timelines, risks, and dependencies for frontier agent deployments.
Builds and maintains identity infrastructure (authentication, authorization, IAM) for AI platforms, ensuring secure access control for enterprise and government clients using OAuth, SAML, ReBAC, and cloud-native tools like Terraform.
Forward-deployed product manager embedded with enterprise customers to drive AI/ML deployments to production, translate operational reality into product feedback, and expand customer value.
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems, collaborating with cross-functional teams to deliver high-impact infrastructure for the forefront of AI.
Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic…
Build and deploy data infrastructure for cutting-edge generative AI models, collaborating with top AI labs and government agencies to deliver high-quality training data and evaluations.
Build and ship full-stack features for Scale AI’s Generative AI Data Engine, using TypeScript, Python, React, MongoDB, and Temporal to power LLMs and RLHF pipelines at scale.
Koniag Services Inc., a Koniag Government Services company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive…
Domain expert who reviews, refines, and evaluates AI-generated content and data outputs to train next-gen models, leveraging deep subject-matter knowledge and strong analytical writing skills.
Build and improve ML systems powering Macroscope’s AI features, focusing on evaluation datasets, model training, and reinforcement learning to enhance codebase insights and developer productivity.
Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every new idea has the potential to become an extraordinary product, service, or customer experience. The AI,…
Build and scale AI research infrastructure, training models like LLMs and diffusion systems, and ship research-driven features for frontier AI labs and enterprises.
Lead Developer Relations for NVIDIA’s AI platforms in India, engaging ML researchers and startups to adopt GPU-accelerated AI workflows and optimize model training and inference.
Build and train large-scale AI foundation models for humanoid robots using multimodal data (text, vision, robot experience) to enable real-world autonomy.
Builds and optimizes AI/ML-powered mobile/web apps for Warner Bros. Discovery, focusing on personalized content, search, and dynamic recommendations using frameworks like TensorFlow/PyTorch, cloud platforms (AWS/GCP), and generative models (LLMs, transformers).
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