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Designs and builds production-grade AI agents for enterprise revenue workflows, combining deep ML expertise with hands-on agent architecture, reasoning loops, and guardrails in a hybrid Bangalore role.
Design and deploy AI/ML systems for ICS/xOT cybersecurity, building threat detection and automation models in cloud and on-prem environments using Python, PyTorch/TensorFlow, and Kubernetes.
Обязанности: Готовить LLM и другие генеративные модели к промышленному запуску; Выбирать inference-движок с учетом архитектуры модели, оборудования и требований продукта; Создавать воспроизводимые контейнерные образы и…
Lead a team of software engineers building AI/ML models and platforms for Conga’s products, including feature stores, model training, and monitoring pipelines.
Salary: £57,000 - 63,000 per year Requirements: Significant professional experience in backend development at a senior level. Strong proficiency in Python, including asynchronous programming, concurrency, and…
Job Description The way companies innovate is broken. The systems built to create and protect ideas can’t keep up with the pace of change. Today, 90% of S&P 500 company value is intangible (e.g., in intellectual…
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
Our culture and people are what set us apart from other post-acute care providers. We’re dedicated to the growth and development of our team to set them up for success. We CARE for our patients like they are our own…
Senior hands-on role designing and delivering scalable data and AI solutions—data pipelines, LLM/RAG integrations, and distributed data systems—translating architectural requirements into HLD/LLD specs and leading delivery teams in a hybrid setup based in Pune.
Design, develop, and deploy NLP/LLM-based production systems using Python, PyTorch, and frameworks like LangChain for Hudhud's geospatial and location-intelligence platforms.
Developer Relations Engineer at Nscale builds and scales programs to engage developers with Nscale’s AI infrastructure platform, focusing on content creation, community growth, and feedback loops to drive adoption of AI workloads.
Обязанности: Разрабатывать AI-сервисы и AI-агентов для банка (AI-Nur, GenBI, Voice AI, внутренние AI Copilot). Создавать backend-сервисы на Python, API и микросервисную архитектуру. Интегрировать LLM, RAG, MCP, базы…
Lead and build the global Developer Relations function for Nscale's AI infrastructure platform—creating technical content, driving developer adoption, representing the company at events, and scaling the DevRel team from the ground up.
Design and deploy AI/ML solutions—including GenAI, RAG architectures, and agentic AI—for a European financial group, using Python, LLMs, vector databases, and cloud platforms.
Develops AI/ML algorithms for defense applications, integrating models into systems and collaborating with cross-functional teams to solve complex national security challenges.
Data Scientist at Deutsche Welle developing analysis projects, ML/AI models, and MLOps pipelines to support data-driven journalism and audience insights using Python and common ML frameworks.
Design and implement scalable AI architectures, collaborating with cross-functional teams to drive innovation and efficiency using technologies like AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, Python, PyTorch, and RAG.
Build and fine-tune AI models using Python, PyTorch, and Hugging Face; develop NLP and computer vision applications in a startup environment.
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
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