Tech jobs
Job listings
Principal Associate, Data Scientist - Bank Customer Protection Debit & Claims
Build and deploy ML models to detect debit fraud in real time, using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
AI Engineer (Remote)
Build and deploy AI models, RAG pipelines, and LLM-powered systems for early-stage startups backed by a VC firm.
Technical Architect, Machine Learning, Generative AI
Design and build enterprise-grade generative AI systems on AWS using Bedrock, AgentCore, and RAG pipelines, leading teams to deliver scalable LLM applications with agentic workflows.
Machine Learning Technical Architect
Design and implement enterprise-grade MLOps/LLMOps pipelines on AWS SageMaker and EKS, focusing on model lifecycle management, CI/CD, monitoring, and governance for AI/ML systems.
Data Scientist - Payments
Build and deploy ML models that optimize payment performance, detect anomalies, and improve conversion rates using real-world payment data and AI-driven tools.
Senior Data Scientist
Lead enterprise-scale AI/ML initiatives, building and deploying Python-based models (LLMs, NLP, predictive systems) with MLOps and responsible-AI practices for federal programs like housing analytics and fraud detection.
AI HPC Infrastructure Engineer
Maintains and optimizes a hybrid HPC/AI Linux cluster with GPUs, scheduling tools (SLURM/Kubernetes), and MLOps pipelines to support large-scale model training and inference for researchers.
Senior Software Developer
Lead a team building AI-driven .NET and Python applications on Azure, integrating CRM and supply-chain systems with Azure AI services and MLOps tooling.
Software Engineer, Data & ML Platform
Build and maintain the Kubernetes-based platform that runs petabyte-scale data processing, simulation, and ML training for an AI company.
Senior AI/MLOPS Engineer
Design, develop, and deploy machine learning models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud services like AWS/Azure/GCP.
Staff Data Scientist 1 - Machine Learning,Deep Learning,Python,,Pytorch
Build and deploy deep-learning models in Python/PyTorch to predict retail supply-chain outcomes, working with TensorFlow, Spark, and GCP to turn massive data into customer-impacting insights.
Data and MLOps Engineer
Build and maintain production-grade data pipelines and MLOps workflows, deploying scalable ML services on Azure/AWS using Docker, Kubernetes, and CI/CD.
Data Science Lead (MLOps & Advanced Analytics)
Lead the design and deployment of production-grade ML/AI systems using Azure ML, Databricks, and PySpark, ensuring scalable, auditable models and robust MLOps pipelines.
AI Platform Support Engineer (APAC)
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production…
Machine Learning Operations Engineer
Build and maintain the Kubernetes-based infrastructure and MLOps tooling that trains, deploys, and monitors AI models for robotic-assisted surgery at scale.
Machine Learning Engineer
Build and deploy large-scale machine learning models and AI agents to optimize Micron’s semiconductor manufacturing workflows using distributed training and GPU optimization techniques.
LLM Ops Engineer
Build and run production-grade LLM systems: deploy self-hosted models, set up GPU-aware inference, CI/CD, monitoring, and evaluation for AI-powered services.
Staff/Senior MLOps Engineer
Build and maintain the MLOps infrastructure that deploys Corti’s clinical-grade AI models into production, ensuring reliability, scalability, and security for healthcare systems.
Pre-Sales Solution Architect, AI Infrastructure (Remote)
Pre-sales role designing and evangelizing Kubernetes-based AI infrastructure for enterprises, focusing on Mirantis k0rdent and AI/ML deployment pipelines.
Data & MLOps Engineer (Mid-level) m/f
Build and maintain production-grade data pipelines and MLOps workflows, containerize workloads, and deploy scalable ML services in Azure/AWS.