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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.
This job posting is Full-Stack Software Engineer to design, build, and deliver secure, highly interactive applications for mission-focused users. The ideal candidate has strong experience with Python, Django REST…
Lead Information Security Engineer responsible for delivering and improving an LLM-based code vulnerability scanning system, using Gen AI development and DevOps tools like Jenkins, GitHub, CI/CD, and Terraform.
Role: Information Security Engineer IV Location: Remote Role Summary Looking for an Information Security Engineer with strong GenAI/LLM, AWS, DevOps, and application security experience to build and support an…
Senior engineer builds autonomous AI agents and retrieval systems to modernize legacy software for federal healthcare, delivering explainable, traceable answers from decades of source code.
Senior AI engineer builds and optimizes agentic AI systems that analyze legacy software codebases for federal healthcare modernization, using LLMs, RAG, and autonomous agents to deliver explainable, traceable answers.
Lead the design and implementation of AI platforms and strategies, focusing on Generative AI, LLMs, RAG, and AI agents for enterprise solutions in a remote role.
Title: Senior Cloud Platform Engineer Client: Fifth Third Bank Location: Farmington Hills, MI Local Candidates Preferred Duration: Contract Job Description: Strong experience with AWS Cloud Platform and Amazon Bedrock.…
Builds and deploys AI/GenAI cloud infrastructure on AWS Bedrock using Terraform, leveraging Python/TypeScript for automation and deployment.
This is a senior-level full stack developer role requiring 12 years of experience in Java, Python, and modern frontend frameworks like React and Angular. The position focuses on building cloud-native applications on AWS with a heavy emphasis on Generative AI, LLMs, and machine learning integration.
Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated…
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.
Design and lead the architecture of cloud-native, AI-powered applications on Microsoft Azure for a global vehicle lifecycle platform, using .NET, microservices, and modern cloud patterns.
Design and lead cloud-native architectures on Microsoft Azure and integrate AI capabilities for a global vehicle lifecycle platform, using .NET, microservices, and modern cloud patterns.
Build and deploy ML pipelines for document intelligence using AWS, focusing on GenAI, RAG, and multi-modal models to extract data from large PDFs for mobility clients.
The AI DevOps Engineer will manage and modernize hybrid cloud infrastructure, focusing on MLOps, AI pipeline automation, and GPU workload orchestration for a trading environment. The role involves leveraging tools like Kubernetes, Terraform, and various AI frameworks to ensure scalable and reliable infrastructure.
Build and design distributed storage, data lake infrastructure, LSM engines, and high-performance storage systems, primarily using C++ and big data processing frameworks.
Student DevOps role assisting with CI/CD pipelines, cloud infrastructure on AWS/Azure, and AI-powered automation at a global CX platform company.
Build and extend Kaluza’s energy-intelligence platform using TypeScript and AWS Serverless, integrating AI features and collaborating with cross-functional teams to deliver scalable, real-time energy solutions.
Leads enterprise Data & AI architecture and client engagements, designing scalable cloud-based solutions and integrating AI tools to improve engineering workflows and business outcomes.
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