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About ICA, Inc. ICA, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted…
Designs end-to-end Data & AI solutions for clients, bridging technical depth with client-facing presentations and proposals to turn complex challenges into actionable architectures.
Build and deploy ML models and MLOps pipelines in Python, focusing on scalable data processing and real-time model serving for predictive maintenance, pricing, and computer vision.
Build, train, validate, and deploy ML models using Azure ML; automate workflows, implement MLOps, and monitor performance for predictive analytics.
Senior Software Engineer responsible for designing, scaling, and maintaining cloud infrastructure and reliability systems for a secure digital identity platform, primarily using AWS, Fly.io, and Go.
Build and maintain scalable AI infrastructure using MLOps, Kubernetes, and cloud-native pipelines to automate model lifecycle management for data scientists.
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Principal Data Scientist at i2c Inc leading fraud detection and AI systems, including transaction fraud, RAG chatbots, and agentic digital-CSR, while managing a team of ~20 data scientists.
Builds, deploys, and optimizes AI/ML models and pipelines for enterprise products, integrating GenAI, NLP, and predictive analytics into scalable systems.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Build and deploy ML models to personalize customer experiences, optimize pricing, and improve retention across Gen’s cybersecurity and financial wellness products using Python, SQL, and cloud MLOps.
Designs and builds an AI-first platform for IP intelligence, focusing on modular, explainable systems for patent analysis and freedom-to-operate workflows using Azure, Databricks, and modern frontend stacks.
Join our Roland Berger AI Lab as an AI Enablement Manager and shape innovative, scalable GenAI solutions that deliver real value for our clients and Roland Berger. Our mission: to rapidly, securely, and sustainably…
Design and lead the production lifecycle of full-stack AI applications for international government partners, ensuring reliability, security, and compliance while bridging technical insights with high-level stakeholders.
The Opportunity We are looking for an Engineering Manager II to lead our Telematics Technology domain. In this role, you will manage the engineers who deploy, support, and operate the production systems that turn…
Lead AI/ML engineering at iFood: design MLOps platforms, agent architectures, and FinOps strategies to scale ML systems that serve 80M+ monthly orders.
Design, deploy, and manage scalable MLOps pipelines for production-ready AI models, focusing on automation, monitoring, and reinforcement learning for hyper-personalization in telecom and related sectors.
The Company: Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility…
About the role The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and design…
Build and deploy AI/ML solutions—LLM/GenAI, reinforcement learning, or MLOps—to drive personalization, customer insights, and business growth from raw data to production systems.
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