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Senior machine learning engineer
Build and scale ML systems, deploy models in production, and improve ML infrastructure using Python, Kafka, Kubernetes, and MLOps tools.
GTM Engineer
About the Role We're an early-stage open-source MLOps infrastructure startup building the orchestration layer for ML pipelines and AI agent workflows. We're looking for a GTM Engineer to own our entire US…
Data and AI Products Architect
Architects AI/GenAI product portfolios, defining target architectures, MLOps/LLMOps pipelines, and retrieval systems while ensuring Responsible AI and cost-efficient inference at scale.
AI Solution Architect
Designs and owns production-ready AI and GenAI solutions, including LLMs, RAG, agentic systems, and MLOps/LLMOps pipelines, ensuring reliability, safety, and cost efficiency.
Senior Data Engineer, Data Quality
Build and govern scalable data pipelines and quality frameworks to power AI-driven analytics and reporting for a global shipping-tech company.
Senior Software Engineer
Build and maintain Java/Spring Boot backend services and React frontends for enterprise legal-compliance systems, integrating with TeamConnect and external APIs.
Gen AI Engineer
Build and deploy RAG systems and fine-tune LLMs to generate insights about flexible workspace usage, using Python, cloud MLOps, and vector databases.
Sr Machine Learning Engineer (Remote - LATAM Based)
Senior Machine Learning Engineer builds and deploys LLM-based AI systems, including agents and multimodal workflows, using Python, AWS, and CI/CD in a fast-paced consulting environment.
(Independent Contractor): Content Maintenance Specialist- Generative AI
Maintain and update Udacity’s AI/Generative AI courses by debugging Python exercises, updating LLM frameworks (LangChain, LlamaIndex), and ensuring workspaces and cloud labs stay current with the latest tools and APIs.
Senior, Software Engineer - ML Data Delivery
Builds and maintains ML data pipelines for autonomous truck perception models, curating high-quality sensor annotations and delivering data for on-demand model training.
Senior, ML Engineer - 3D Reconstruction
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to auto-generate high-quality annotations for autonomous trucks.
Senior, ML Engineer - 3D Reconstruction
Build and deploy ML systems that reconstruct 3D lane lines and maps from noisy sensor data (cameras, LiDAR, radar, GPS/IMU) to power autonomous truck perception and HD mapping.
AI Engineer
Build and deploy production-grade AI systems for edge environments like offshore platforms, mines, and autonomous vehicles, optimizing models for latency, robustness, and security across disconnected settings.
Data & AI Strategy Lead | GenAI & MLOps Champion
Leads data strategy, GenAI, and MLOps for an edtech company, building scalable AI platforms and guiding analytics teams to drive data-driven decisions.
Conversational Agent AI Platform Engineer
Build and maintain a cloud-native Conversational AI Platform using Python, RAG, Airflow, and Elasticsearch to deploy and scale AI bots for customer service across 30+ countries.
Applied AI & ML Lead - Markets Operations
Lead a team to design, build, and deploy AI/ML models that transform J.P. Morgan’s market operations, using Python, PyTorch/TensorFlow, and cloud platforms.
DevOps AI Platform Architecture - London, UK - London
Design and build scalable AI platforms using cloud services, MLOps pipelines, and Kubernetes to automate AI/ML deployment and monitoring for enterprise solutions.
Member of the Technical Staff — AI/ML
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Platform Engineer - AI & Data Platform 50-60k
Build and maintain enterprise-scale AI and data platforms, automating operations with cloud and MLOps tools like Kubernetes, Terraform, and Jenkins.
Platform Engineer (AI / Data Platform, 30-40K)
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.