AI, ML & Data Research Jobs

Teach and deliver hands-on AI engineering training while building and deploying practical AI solutions. The role focuses on practical demonstrations, workflow automation, and full-stack development to help learners implement real projects.

Summer internship in the Finance Innovation Studio to run hands-on AI experimentation for finance reporting and analysis. The Applied AI Experimentation Intern will design and execute AI-first sprints using copilots and analytics tools to surface scalable opportunities while working closely with finance leadership in a sandbox environment.

The Machine Learning Engineer will develop, validate, deploy, and maintain machine learning models and curated health datasets to support research projects in the Data Intelligence for Health (DIH) Lab. This fixed-term, part-time role (approx. 6 months) supports clinical research workflows and collaborates with researchers and stakeholders to produce reproducible, production-level ML artifacts.

Hands-on Data Engineering & Integration Engineer responsible for building scalable, high-performance data platforms on Snowflake and AWS. Design and optimize ETL/ELT pipelines, integrate diverse data sources, and enable analytics and AI-driven use cases through production-grade data systems.

Provide AI-driven coding support and prompt engineering to clients on the Vibe Coding platform, performing live or asynchronous pair programming, debugging, and full-stack feature completions. The role is fully remote, contract-based, and emphasizes strong communication, LLM usage, and practical deployment experience.

Machine Learning Engineer focused on designing, building, and deploying agentic systems using modern agent platforms and SDKs. The role emphasizes disciplined development workflows, spec-driven development, cross-functional collaboration, and hands-on LLM tooling to create reliable, production-grade agents.

Equifax is hiring a Senior AI Engineer to lead architecture and delivery of cloud-native, production-grade AI agents and platforms on Google Cloud. The role combines hands-on development, MLOps, and technical leadership to build scalable, reliable microservices and agentic AI systems using AI code-assistants and modern cloud-native tooling.

Lead AI Engineer to drive Equifax's technology transformation by architecting, building, and operating scalable, production-grade AI agents and cloud-native services on Google Cloud Platform while leading and mentoring a cross-functional engineering team. The role focuses on applying agentic AI frameworks, MLOps, and AI-assisted development to deliver reliable, observable systems at scale.

Senior AI/LLM Engineer to design, build, and deploy production-grade LLM and generative AI systems, including agentic workflows and RAG pipelines, with strong Python expertise and experience integrating AI services into full-stack applications. The role focuses on LLM integration, fine-tuning, prompt engineering, and using AI-assisted coding tools, and requires collaboration across product, QA, and US-based teams.

Risen is hiring an AI Engineer to design, build, and deploy AI-powered applications with a strong focus on backend and server-side development. The role emphasizes practical experience with AI-assisted coding tools (e.g., Vibe Coding, Claude, ChatGPT, Replit) and integration of APIs, databases, and cloud deployments to deliver scalable, secure systems.

Lead the design and delivery of production-grade AI/ML systems for Workday Adaptive Planning, building agentic workflows and intelligent features that improve enterprise financial planning. Provide technical leadership across the ML lifecycle, mentor engineers, and integrate scalable, secure AI capabilities into core products.

Workday is hiring an AI/ML-focused Software Development Engineer to design and build production-grade, agentic AI workflows for Adaptive Planning that improve financial planning for enterprise customers. The role combines ML engineering, software development, and product-minded design to embed scalable, secure AI capabilities into a SaaS planning platform.

Wissenschaftliche:r Mitarbeiter:in im Projekt EVOLVE an der Hochschule Bremerhaven zur Entwicklung eines KI-basierten, datenschutzkonformen Analyse- und Empfehlungssystems. Ziel ist die Verarbeitung anonymisierter Nutzereingaben, semantische Clustering‑Verfahren und kontextsensitive Empfehlungen (via RAG) zur Unterstützung von Change‑Situationen.

Lead software engineer focused on designing and implementing ETL and data integration solutions for Evernorth's Data & Analytics organization. The role delivers scalable data transformation, ensures data quality and performance, and collaborates across teams to support enterprise data platforms like Databricks and Denodo.

AI Engineer responsible for designing, developing, and shipping internal web applications and AI-powered tools for construction workflows. Build integrations and agentic automation using the Claude API and connect models to SaaS platforms while owning deployment, CI/CD, and collaboration with data and business teams.

Work as a Principal Software Engineer on Workday’s Adaptive Planning team to design and deliver production-grade generative AI and agentic workflows for enterprise financial planning. Lead technical design, implementation, and deployment of LLM-based systems that integrate with large planning datasets to improve FP&A productivity and decision-making.

AI/ML Engineer (AI Generalist) building production-ready personalized AI agents, rapid AI-assisted prototypes, and AI-driven image/video content. The role focuses on end-to-end delivery: integrating models, tools, and automations that are reliable and usable by business teams.

The Snowflake Data Engineer will design, build, and maintain scalable data pipelines and transformations on Snowflake and Azure to produce authoritative data sources for analytics and decision-making. The role emphasizes SQL and ETL expertise, collaboration with business and analytics teams, and active use of AI-assisted development tools to accelerate delivery.

Build, test, and deploy Gemini-powered multi-step agents to automate business workflows for TNT4 India's Canon Studio, ensuring agents deliver expected outcomes with a 0% error standard. Rapidly prototype fixes using AI-first 'vibe coding', integrate agents with external systems, and implement human-in-the-loop approval and auditing mechanisms.