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Design and enforce AI/ML security standards, assess risks in generative AI systems, and lead incident response for a regulatory intelligence provider.
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login…
Why you: Pythian sits at the intersection of data engineering, AI production, and managed services — helping enterprises turn data complexity into competitive advantage. With three decades of deep managed services…
Senior Technical Program Manager leading a human biological data platform for a pharma client, managing cross-functional programs across data engineering, AI/ML, and scientific workstreams using GCP, Jira, and a hybrid agile/waterfall delivery model.
Builds and maintains data pipelines and ML workflows across multi-cloud platforms (Hadoop, BigQuery, Snowflake, etc.) to optimize data workflows and support scalable data platforms for HSBC’s analytics technology team.
The Data DevOps Engineer will develop, deploy, and maintain data pipelines and machine learning workflows within a multi-cloud environment. The role involves collaborating with data scientists to optimize analytics platforms using tools like Python, Kubernetes, and various Big Data technologies.
The Technical Program Manager drives cloud deployments for Anthropic’s AI models, coordinating internal engineering teams and cloud partners (AWS, Google, Microsoft) to ensure on-time launches, incident resolution, and cross-functional alignment for scalable AI product delivery.
The Principal Software Engineer will build and own a durable orchestration platform for agentic AI systems, enabling long-running, multi-agent scientific workflows. The role focuses on architecting scalable, reliable infrastructure on AWS to transition AI research prototypes into production-grade systems.
Lead AI/ML and computational projects to accelerate pharmaceutical R&D, designing agentic workflows that integrate LLMs with omics, biomolecule design, and systems biology tools for end-to-end scientific pipelines.
RTL Design Engineer developing TPU (Tensor Processing Unit) silicon for AI/ML hardware acceleration, using Verilog/SystemVerilog to design and verify ASIC blocks.
The Data Engineer will design and build production-grade AI and data solutions on Google Cloud to optimize stock, demand forecasting, and supply chain operations. The role involves managing data pipelines, feature engineering, and model deployment using Python, Vertex AI, and BigQuery.
The Staff Forward Deployed Engineer acts as a builder-consultant, embedding with customers to deploy production-grade agentic AI solutions using Google Cloud's Vertex AI and Gemini models. This role bridges the gap between frontier AI research and enterprise infrastructure by coding, debugging, and providing critical feedback to Google's product teams.
The Senior Product Manager will lead the multi-year roadmap for Google's compute infrastructure, focusing on security and scaling AI/ML capabilities. This role involves cross-functional collaboration to translate complex technical requirements into infrastructure solutions that support Google's global services and cloud customers.
This role involves developing scalable, AI-powered full-stack applications using Java, Spring Boot, and modern frontend frameworks like React or Angular. The developer will integrate Generative AI, LLMs, and RAG architectures into enterprise systems while managing microservices and cloud-native deployments.
MLOps Engineer building and automating infrastructure for retail ML models in production using GCP Vertex AI, IaC, and CI/CD pipelines in a hybrid role.
Lead a New York-based front-end engineering team building Gemini Enterprise developer integrations across multiple IDEs, web consoles, and CLI tools, focusing on UI responsiveness, security, and LLM-powered developer experiences.
Designs and develops high-speed I/O cables, connectors, and mechanical assemblies for Google Cloud’s hardware platforms, focusing on PCIe/Ethernet solutions, tolerance/FEA analysis, and cross-functional supplier collaboration to meet performance and manufacturing requirements.
Develop enterprise AI solutions using Vertex AI, BigQuery ML, and cloud-native ML tools on Google Cloud Platform.
Builds AI-enhanced full-stack applications by designing frontends, APIs, and data services while integrating AI tools and capabilities into enterprise solutions.
The DevOps Engineer will design and maintain scalable cloud infrastructure and CI/CD pipelines to support AI and Generative AI platforms. The role focuses on MLOps, container orchestration with Kubernetes, and infrastructure automation using Terraform.
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