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The Senior Full-Stack Engineer will build foundational applications and services that integrate with machine learning models to power sports intelligence. This role involves end-to-end development, from cloud infrastructure to real-time data visualization, using a stack including Java, Python, React, and AWS.
A junior Background Investigator/Analyst supporting the insider threat program, aiding HR, Information Security, and Legal teams with risk quantification by using open source and commercial investigative tools to gather, verify, and analyze information.
Build full-stack AI evaluation tools in Python/TypeScript/React to help teams mine driving scenarios, run tests, and debug autonomous-vehicle models at scale.
Builds and optimizes terabyte-scale ETL/ELT pipelines on AWS using Spark/Scala, debugging production issues and integrating Gen AI to accelerate workflows. Core tech stack: Spark, Scala, AWS EMR/S3, Snowflake, Kafka, Grafana.
You’ll recruit top technical talent for AI data-center engineering teams, owning full-cycle hiring in a fast-moving startup building the infrastructure powering AI.
Oversee security compliance and accreditation for a defence AI company, ensuring products meet French and international security standards while coordinating with national authorities.
Senior AI Engineer builds reusable AI components, leads architecture for AI initiatives, and solves LLM/agent problems while mentoring engineers and setting coding standards.
Administers enterprise generative AI platforms, develops prompts and agents, manages user access, and provides support for AI services.
Build and maintain AI-driven autonomous agent systems, optimize workflows, and ensure enterprise-grade security and quality in a hybrid role.
AI Engineer Intern at Softobiz to assist in developing and deploying AI/ML models and solutions.
Builds and maintains the core AI infrastructure platform, ensuring scalability, reliability, and security for a high-growth AI company’s distributed systems using IaC, GitOps, and coding in Go/Python/Rust.
Leads high-stakes engineering programs across distributed teams, defining scope, timelines, and risk while collaborating with engineers, product managers, and stakeholders to deliver complex initiatives and improve workflows with AI-native tooling.
Leads a team of AI/ML specialists to drive Snowflake’s Cortex AI and ML product adoption, bridging field/customer insights with product roadmap decisions to maximize customer outcomes and platform value.
The Senior Solutions Architect will own the end-to-end technical design of LLM and AI platform capabilities, translating business requirements into actionable technical plans and architecture standards.
QA Automation Engineer ensures software reliability by combining manual and automated testing (Playwright/Cypress/Selenium) for web apps and APIs, managing test plans, defect tracking, and Agile collaboration.
The AI/ML Engineer will design and build generative AI solutions, including RAG and agentic frameworks, using Python. This is a hybrid role based in Phoenix requiring collaboration with cross-functional teams to ensure secure and scalable AI delivery.
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Designs cloud-native AI systems using LLMs and autonomous agents on Google Cloud Platform for high-tech clients.
Customer Engineer specializing in AI/ML who partners with sales teams to design cloud solutions, troubleshoot technical issues, and guide enterprise customers through Google Cloud adoption.
Design AI-first reference architectures and standards for ServiceNow partners, guiding them to build scalable, outcome-driven solutions on the Now Platform using FLIGHT and design thinking.
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