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Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Data Engineer designing and industrializing robust data pipelines and modern cloud data platforms (lakehouse, Snowflake, BigQuery, Databricks) to feed AI/agent systems and BI dashboards, using SQL, Python, Spark, Airflow, dbt, and vector databases.
The Data Engineer at Keyrus designs and industrializes robust data pipelines and modern data platforms to support AI systems and analytics. The role involves preparing data for generative AI, ensuring data quality, and collaborating with AI engineers to build scalable, production-ready data solutions.
Senior Security Consultant leading deployment strategy for complex AI stacks across Multi-Cloud (AWS, GCP), Hybrid, and On-Prem environments. Acts as Security & Compliance Authority enforcing hardening standards, Zero-Trust network access, and global compliance frameworks for AI deliveries using technologies like Red Hat OpenShift, Kubernetes, Terraform, and various AI/ML tools.
Навыки: Python, Git, Docker, SQL. Квалификация: Senior. Специализации: ML разработчик. Роль: ML-инженер на создание рекомендательной системы Мы — холдинг, который создаёт сервисы нового уровня для крупных игроков…
The Software Engineer will build and maintain data analytics and search platforms, including provisioning and observability, for Apple's critical internet services. The role involves managing hybrid-cloud data migrations and infrastructure using technologies like Java, Python, and various distributed database systems.
Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact? A leading healthcare technology company is hiring an…
Lead the design and implementation of enterprise-grade Generative AI and Agentic AI solutions—spanning RAG, LLMs, and AI agents—using frameworks like LangChain, LangGraph, vector databases, and cloud-native infrastructure on a 12-month contract.
The Principal AI Software Engineer will architect enterprise-grade AI solutions, integrating LLMs, RAG, and agent workflows into high-availability systems. The role involves leading cross-functional teams, setting technical standards for AI development, and optimizing performance and costs across cloud-based infrastructure.
The Technical Architect will design and implement scalable, fault-tolerant AI systems on Google Cloud, bridging the gap between research and production. The role involves leading MLOps lifecycles, defining compute strategies for AI workloads, and mentoring teams to build resilient, cloud-native architectures.
Act as MinIO’s technical ambassador to Fortune 500 C-suites, designing AI-ready data architectures and evangelizing high-performance object storage for generative AI and analytics workloads.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
AI systems Build, fine-tune, and evaluate LLM systems for domain-specific tasks (QLoRA / PEFT on open-weight models such as Llama-3 and Mistral). Design reproducible evaluation harnesses and A/B test frameworks with…
Salary: £80,000 - 115,000 per year Requirements: 7 years of experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable…
The Lead Data Engineer will architect and scale data infrastructure for an AI-powered property management platform, managing real-time pipelines, vector databases, and ML workflows. As the first senior data hire, this role involves defining the technical stack, engineering standards, and data strategy while collaborating with AI and product teams.
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
Builds and optimizes Web3 big-data pipelines (on-chain transactions, smart-contract events) and integrates AI/LLM features like Text2SQL and anomaly detection to power analytics, risk models, and AI-driven data products.
Senior Data Engineer builds scalable data pipelines and infrastructure for an AI-powered property-management platform, including vector databases and real-time analytics to support ML workflows.
Leads full-stack development and AI agent integration for Citi’s applications, managing teams to design scalable, secure systems supporting complex AI workflows using React, Python/Java, LangChain, and cloud infrastructure.
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