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Capgemini Gen AI Application Developer
Build enterprise GenAI applications using LLMs, RAG, and agentic workflows with Python, LangGraph, and cloud tools in a hybrid role.
Senior Data Engineer I - QuantumBlack, AI by McKinsey
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Data Scientist
Build and deploy ML/LLM-powered services for Workato’s iPaaS platform, shipping scalable AI features and improving model performance with Python and modern MLOps practices.
Senior Machine Learning Engineer
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
AI architect
Design and scale enterprise AI architecture for a large conglomerate, defining roadmaps for Generative AI, Agentic AI, and MLOps while ensuring secure, scalable solutions across business functions.
AI Engineer
Builds and scales enterprise-grade GenAI platforms, including RAG pipelines, vector databases, and LLM serving layers, to power AI applications across the organization.
Full Stack AI Developer
Build and deploy full-stack agentic AI applications using Python, React, and LLM frameworks like LangGraph or AutoGen, integrating RAG pipelines, MCP servers, and DevOps practices for enterprise clients.
Senior Machine Learning Engineer
Build and maintain an internal AIOps/ML/LLM platform, including Kubernetes infrastructure, ML workflows, and production deployment for cybersecurity use cases.
Data Scientist, Applied AI - Latin America - Remote
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Principal CX Architect
Principal CX Architect designs and delivers AI-native contact center solutions using Amazon Connect, Bedrock, and Lex, leading a team to build scalable conversational AI, routing, and analytics while ensuring production-grade reliability and security.
Principal AI/ML Scientist – Engineer
Lead a team of AI/ML scientists and engineers to build agentic workflows and reasoning engines for Pipedrive’s AI-native CRM, shipping production-grade models that drive customer value from structured and unstructured data.
AI/ML Associate Engineer
Build and deploy secure, production-grade AI/ML systems including LLM workflows, RAG pipelines, and agentic AI for enterprise use at a global bank.
AI Software Engineer
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Lead devops engineer
Lead DevOps engineer designs and maintains CI/CD pipelines, infrastructure-as-code, and cloud-native architectures in Azure, while integrating MLOps and observability practices.
Lead ai engineer
Lead AI Engineer designs and delivers enterprise-grade AI solutions, including LLM apps, RAG systems, and AI agents, while setting engineering standards and mentoring teams.
Lead AI Agents & Generative AI Architect
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
AI Engineer
Build and deploy production-grade GenAI applications using LLMs, RAG, and agentic workflows integrated with Snowflake, focusing on reliability, observability, and semantic alignment.
AI Governance Manager for AI Singapore (AI Talent Development)
Job Description AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by…
AI Governance Manager for AI Singapore (AI Talent Development)
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI. AISG is supported through a government-wide…
Data Engineer (AWS Cloud Platform, Big Data)
Build and maintain cloud-native data platforms and pipelines on AWS, using Python, Spark, Kafka, and Terraform to enable scalable analytics and AI/ML workloads.