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The AI/ML Lead Consultant will lead customer engagements on Google Cloud, designing and delivering AI, machine learning, and Generative AI solutions. The role involves technical leadership, architectural design, MLOps implementation, and mentoring teams to move projects from strategy to production.
Builds and deploys Gen AI applications from POC to production, handling both frontend (ReactJS) and backend (Python/FastAPI) development, cloud AI integrations, and dynamic workflows.
Lead a team to build AI-ready data pipelines and integrations that power HERE’s AI, generative AI, and agent-based solutions, ensuring trusted, scalable data foundations for enterprise use cases.
Design and build autonomous AI agents and multi-agent systems using LLMs, agent frameworks, and production-grade AI platforms.
Roles & Responsibilities Our client, a leading global luxury brand, is seeking a Data Science & AI Engineer to design and deploy advanced analytics, machine learning, and Generative AI solutions that drive…
Roles & Responsibilities Overview We are looking for a fresh graduate (degree or diploma) Data & AI Engineer to join our growing team. This is a hybrid role: about half your time will go into designing,…
Builds and maintains high-throughput data pipelines to ingest, process, and analyze unstructured data (documents, media) using AI/ML for threat detection and semantic search in national security applications.
Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
AI Architect serving as enterprise design authority for AI architecture at a real estate firm, defining reference architectures, platform standards, and roadmaps focused on GenAI, LLMs, RAG, AI agents, and MLOps/LLMOps across cloud and on-prem environments.
Design and build advanced AI/ML solutions for Cisco’s supply chain, focusing on predictive analytics, LLMs, and agentic workflows to optimize product lifecycle and operational efficiency.
Build and deploy full-stack applications and AI-powered workflows using Python, JavaScript, and Go, integrating LLMs and cloud services in a fast-paced Singapore-based engineering team.
Designs secure, scalable AI architectures for marine data platforms in APAC, ensuring compliance with regional regulations while enabling advanced AI and automation solutions.
Designs and deploys AI-driven solutions (LLMs/agents) at scale, owning CI/CD pipelines, IaC, and production observability for enterprise clients while mentoring engineers and ensuring security/governance compliance.
Build and deploy ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
The Technical Lead Architect will build and manage a semantic layer and knowledge graph to unify complex pharmaceutical data for AI agent consumption. This hands-on role involves designing ontologies, implementing agentic architectures, and leading engineering teams to deliver AI-assisted scientific workflows.
Build and own scalable backend services in Node.js/TypeScript that integrate AI models and data pipelines for banking clients, deploying on Azure/AWS.
Lead Data Scientist designing and deploying ML, NLP, and GenAI models (including RAG systems) using Python, cloud platforms (Azure preferred), and frameworks like TensorFlow, PyTorch, and LangChain for an executive search firm's Digital-IT team.
The Lead Data Scientist will oversee the enterprise AI strategy, managing teams focused on Generative AI, MLOps, and machine learning applications for HVAC and data center operations. This role involves leading the end-to-end AI lifecycle, from experimentation to production, while aligning technical initiatives with business goals.
The Data Engineer will design and build data infrastructure, ETL/ELT pipelines, and data models to support analytics and AI applications. The role involves working with technologies like Python, SQL, PySpark, Databricks, and various database platforms to transform data into actionable insights.
The Lead AI Engineer will architect and build autonomous, production-grade agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to enable intelligent, self-healing decision-making systems.
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