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Develop AI/ML requirements and policy for defence programs, using Python and frameworks like PyTorch/TensorFlow to support autonomous systems and loitering munitions projects.
Build and scale Spring Health’s AI-native platform, enabling GenAI features and MLOps best practices across the org using Python, Kubernetes, and cloud tools.
Build and maintain Parafin's ML Platform that powers underwriting and small business financing products. Partner with Data Science and Platform Engineering to create developer-friendly abstractions, SDKs, and pipelines for model training, evaluation, inference, and feature management, using Python, Spark, Databricks, and AWS.
Senior Data Scientist builds and deploys AI/ML models and data pipelines for financial analytics, partnering with ops and tech teams to deliver scalable, data-driven solutions using Python, TensorFlow/PyTorch, and cloud platforms.
Design and implement security frameworks to protect AI systems from adversarial attacks, model theft, and supply-chain risks, collaborating with engineering and data science teams.
Build and scale ML infrastructure using Kubernetes, Terraform, and CI/CD to deploy and monitor AI workloads for a global tech services firm.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Lead the design and optimization of database systems that power both business apps and AI-driven solutions, including vector databases and LLM integrations, while mentoring the team.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
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.
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