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Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+…
Founding LLM engineer at an early-stage, YC-backed AI supply chain startup, building and owning LLM-powered agent systems end-to-end that automate production, warehousing, and distribution decisions.
Builds and maintains full-stack web applications using Python, React, and Node.js, integrating AI/ML solutions and cloud-based deployments on AWS/OpenShift.
Python developer building and deploying GenAI/LLM applications with a focus on RAG pipelines, prompt engineering, and MLOps in production using Python, LangChain, vector databases, and Kubernetes.
The Python AI Engineer will design and build scalable AI-powered applications, microservices, and APIs using Python, LLMs, RAG, and Agentic AI frameworks. The role involves managing the full SDLC, including CI/CD, containerization, and event-driven architecture.
Builds and maintains Python-based generative AI applications and RESTful APIs for a large financial services firm, integrating cloud and container technologies.
The Senior Machine Learning Engineer will design, build, and operate production-ready NLP and LLM pipelines using AWS, Kubernetes, and Python. The role involves owning the full ML lifecycle, including RAG development and model fine-tuning, to deliver narrative analytics for mission-critical client projects.
Description Role Summary The AI Engineer will build and operationalize the tooling, pipelines, and controls that secure Ulta's growing portfolio of AI initiatives. This is a hands-on engineering role responsible…
We are looking for a Senior AI/ML Engineer to join our engineering team and work on challenging AI/ML projects for international clients. This role is a great fit for an experienced engineer who combines strong Machine…
Design and deliver high-performance digital subsystems within mixed-signal ICs, owning the full flow from RTL design through synthesis, P&R, and tape-out using Verilog/SystemVerilog and industry EDA toolchains.
Staff Data Scientist (IC) at a fintech building classical ML and GenAI/Agentic AI models for global fraud detection and risk mitigation, working with Python, Databricks on AWS/GCP, Snowflake/BigQuery, and feature stores like Tecton to tackle imbalanced data and production model drift.
We are looking for an experienced AI Engineer to join our team and work on enterprise AI solutions involving Generative AI, LLMs, NLP, RAG, and Microsoft Azure . What you’ll be working with: • Python & SQL • Azure…
Sertis is seeking an AI/ML Engineer to build and maintain scalable MLOps infrastructure and deploy generative AI models and agentic systems. The role involves developing cloud-native APIs and pipelines while collaborating with cross-functional teams to deliver bespoke AI solutions.
Design and operate CI/CD pipelines for AI/ML deployments in a regulated banking environment, using Docker, Kubernetes/OpenShift, Terraform, Ansible, Prometheus, and Grafana while deploying LLMs from Hugging Face.
AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
The Engineering Manager will lead a team of Machine Learning Engineers to design and deploy production-ready LLM applications and agentic AI systems for healthcare clinical workflows. The role focuses on building scalable AI infrastructure, MLOps workflows, and collaborating across teams to translate research into clinical products.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
The Research Scientist will conduct research on efficient and sustainable AI technologies, focusing on the development and optimization of large language models and multimodal foundation models. This role involves collaborating with interdisciplinary teams to create real-world sustainability solutions and publishing findings in top-tier academic venues.
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