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Build and scale production AI/ML services on Kubernetes, focusing on MLOps, model serving, and observability to ensure reliable, high-performance, and cost-efficient deployments.
Build AI agents and LLM-driven features for NOS, the AI platform that powers next-gen nuclear reactor construction, including retrieval, evals, and time-series models.
Build AI features and agents for a nuclear-energy startup’s operating system, shipping models for site evaluation, scheduling, and anomaly detection used by reactor construction teams.
Build AI agents and LLM-driven workflows for a reactor-construction OS used by teams deploying next-gen nuclear plants, shipping models and features to production.
Lead AI teams to design, build, and deploy production-grade RAG, agentic, and LLM-powered systems with robust evaluation, MLOps, and scalable infrastructure.
Build and maintain the Kubernetes-based infrastructure and MLOps tooling that trains, deploys, and monitors AI models for robotic-assisted surgery at scale.
Build and deploy ML systems at Rebtel: classical models for fraud/churn and LLM-powered features for customer support and product, shaping the company’s AI strategy from the ground up.
Build and run production-grade LLM systems: deploy self-hosted models, set up GPU-aware inference, CI/CD, monitoring, and evaluation for AI-powered services.
Build and run production ML systems on AWS for a regulated casino analytics platform, owning training, deployment, monitoring, and cost control.
Data Scientist - Computer Vision Location: Bangalore Area Time Type: Full time Job Description Job Description: Description : At Airbus, we are harnessing the power of artificial intelligence to enhance efficiency and…
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, using Python, RAG, and agentic architectures.
Design and optimize ML pipelines, LLM serving, and GPU architectures for generative AI solutions using frameworks like PyTorch, Hugging Face, and vLLM.
Pre-sales role designing and evangelizing Kubernetes-based AI infrastructure for enterprises, focusing on Mirantis k0rdent and AI/ML deployment pipelines.
Разрабатываете и поддерживаете бэкенд AI-агентов на LangGraph, интегрируете модели с внутренними системами банка и внедряете RAG-решения для автоматизации бизнес-процессов.
Senior Software Engineer builds and maintains PayPal’s ML infrastructure and model lifecycle systems to power risk-management features at scale.
Lead the design and deployment of scalable AI/GenAI solutions and petabyte-scale data platforms, from ingestion to production, using cloud, Spark, Databricks, and Snowflake.
Build and maintain low-latency trading infrastructure for crypto liquidity, including exchange connections, automated quoting bots, and risk systems using Java/Rust/C++ and FIX/WebSocket.
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends (Iceberg, ClickHouse, MySQL/PostgreSQL) to feed trading desks, quants, and analytics.
Build and operate low-latency crypto trading infrastructure, including venue connectivity, automated pricing strategies, and risk systems for a global exchange.
Build and improve Avito’s in-house large language models by designing experiments, training pipelines, and optimizing inference for production use.
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