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Designs and builds production-grade Generative AI and Agentic AI solutions for enterprise clients, focusing on scalable, secure, and observable AI systems with Python, LLMs, RAG, and agent frameworks like LangChain.
Build and maintain Cresta’s multi-cloud Kubernetes infrastructure, CI/CD pipelines, and ML tooling to ensure scalable, secure, and reliable AI-driven customer experience platforms.
Required Qualifications: Experience : 15 years in IT infrastructure, software engineering, or cloud architecture, with 5 focused specifically on advanced AI/ML and GenAI solutions. Core Technical Stack : Deep hands-on…
Senior Data Engineer builds and optimizes scalable GCP-based data pipelines and models to power real-time AI/ML workloads for a global sports media and betting platform.
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
Designs and prototypes Google Cloud-based AI and data solutions for enterprise clients, scoping technical Statements of Work and guiding sales-to-delivery handoffs.
Designs and leads enterprise migrations from Microsoft 365 to Google Workspace, builds AI-driven automation with Google Apps Script, AppSheet, and Vertex AI, and advises clients on digital-workplace strategy.
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor and…
Designs and builds an enterprise MLOps platform for AI/ML workflows, focusing on scalable services, APIs, and developer tooling to enable ML teams to deploy and manage models at scale.
Lead the application-security team at a Brazilian edtech company, architecting data governance, running offensive security programs, and mentoring engineers on secure CI/CD, cloud, and AI platforms.
Data Engineer building and operating data pipelines, a data warehouse on BigQuery, and derived data products on Google Cloud for a global client, using SQL, Python, and Salesforce platforms.
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
Manages end-to-end cloud migration and modernization programs across GCP, AWS, and Azure for TELUS Digital, leading large-scale transformations, governing multi-cloud initiatives, and optimizing costs up to $50M budgets.
Leads AI product development for enterprise customers, managing technical programs for Gemini Enterprise Agent Platform and model deployment, bridging engineering, product, and leadership teams to define roadmaps and drive releases.
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations…
Lead a team of software and AI engineers at ServiceNow to design, build, and deploy AI-native applications using LLMs, agents, and RAG systems, with full ownership across coding, testing, and production monitoring in a cloud environment.
Build and scale an AI-powered conversational investment research platform (Floyd) using LLMs (OpenAI, Google Gemini, Anthropic Claude) to automate complex workflows for pension fund analysts. Own end-to-end development, from agentic system design to production deployment, while collaborating closely with investment teams to refine and adopt AI tools.
Summary The Senior Machine Learning Engineer, AI Evaluation builds and operates the measurement and engineering infrastructure supporting the organization's Applied AI Research (AAIR) function, a continuous…
Senior AI Engineer building end-to-end AI solutions (data prep to production) on GCP for a retail/consumer goods company in Barcelona, using Python, SQL, BigQuery, Vertex AI, LLMs, and RAG architectures applied to CRM, loyalty, ecommerce, and marketing.
Hands-on AI Architect leading solution architecture for client generative and agentic AI builds at a consulting firm in Singapore, designing reference architectures, setting security/governance standards, and owning model/vendor strategy across regulated sectors.
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