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Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owns data pipelines, and mentors junior scientists while ensuring production-readiness and business impact.
The Applied AI Scientist role at Tipalti involves working on artificial intelligence applications within a fintech environment. The position is fully remote and offers compensation in foreign currency.
This role is for a senior Python developer with 13 years of experience to build production-grade AI agents and LLM applications. The position involves working with technologies such as Google Agent SDK, Gemini, OpenAI, RAG, and vector databases in a hybrid environment.
This role involves building and maintaining the data platform and backend services that power AI features for an educational platform. You will design data models, manage ingestion pipelines, and ensure system reliability in a production environment using Python, SQL, and AWS.
Senior Security Engineer shaping AI training data for a human data platform for AI agents and LLMs, writing prompts, code solutions, and evaluating model outputs to improve safety and performance.
Builds interactive GIS maps and data-driven dashboards using React/Angular, translating complex geospatial/operational data into accessible, scalable UIs with WCAG compliance.
The Senior Full-Stack Engineer will build and maintain an AI-enriched capability map platform using React for the frontend and Python for data processing and API integration. The role involves developing complex, data-heavy UI components and integrating AI services into enterprise catalog workflows.
Build production systems for robotics data collection, model training, and evaluation infrastructure. Work across Python, TypeScript/Node.js, React, and C++ stacks to design large-scale data processing pipelines and real-time tools for robotics and AV customers.
Lead engineer building scalable web apps with React and C# on Azure, designing APIs, and deploying with AKS while integrating AI practices.
The Data Engineer will build and maintain data pipelines for healthcare analytics, transitioning batch processes to event-driven architectures using AWS services. The role involves developing AI agents and RAG pipelines to process FHIR data and integrate with various AWS storage solutions.
This Senior Platform Engineer/DevOps role focuses on managing cloud infrastructure for AI workloads, specifically provisioning AKS/EKS clusters for LLM inference and fine-tuning. The position involves automating CI/CD pipelines, implementing observability for model performance, and managing the lifecycle of AI models using tools like Terraform, GitHub Actions, and MLflow.
Architect Linux-based RF software for autonomous systems, building high-performance C++ apps and kernel modules to enable reliable communications and sensing for drones and unmanned vehicles.
Designs and verifies complex ASICs for Google’s TPU hardware, focusing on AI/ML acceleration in data centers. Uses SystemVerilog/UVM to test digital logic, debug designs, and ensure functional correctness for next-gen data center accelerators.
This role involves designing data pipelines and building evaluation suites for GenAI edge device models to support the BMW Intelligent Personal Assistant. The position requires expertise in Python, PyTorch, and machine learning engineering to develop privacy-first data and model solutions.
Build and optimize reporting pipelines for AI-driven financial markets using kdb+, handling large datasets and real-time systems for traders and management.
Newton Research is seeking a Data Scientist to develop production-level AI models and algorithms for their media lifecycle platform. The role involves collaborating with engineering to integrate these models into software, leveraging LLMs and generative AI to provide actionable business insights.
Build and maintain a cloud-based data platform on GCP, focusing on robust integrations, infrastructure, and production-grade pipelines using Python, Terraform, and BigQuery.
The PMO Analyst will orchestrate CRM communication initiatives by managing backlogs, coordinating between technical squads and business stakeholders, and ensuring project governance. The role focuses on integrating CRM journeys within the Adobe and Dynamics 365 ecosystems.
The Senior MLOps Engineer will build and scale enterprise-grade machine learning platforms on Google Cloud using Vertex AI and BigQuery. The role involves automating the full model lifecycle, from training to production deployment, while collaborating with data scientists and cloud engineers.
Designs and leads enterprise-scale ML architectures on Google Cloud, focusing on Vertex AI and Gemini platforms to transition models from experimentation to production while ensuring scalability, security, and efficiency for cross-functional teams.
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