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Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Builds ML models to predict and reduce customer churn for Warner Bros. Discovery’s streaming services using Python, SQL, and PySpark.
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Principal AI Software Engineer at Northrop Grumman builds and deploys large language models, NLP/NLU systems, and AI-driven decision tools for defense applications using PyTorch, TensorFlow, and cloud platforms.
Develop and deploy AI/ML models (LLMs, NLP, computer vision) for defense systems, focusing on explainable AI and sensor/data fusion, using frameworks like PyTorch and TensorFlow.
Build and deploy production-grade AI and Generative AI solutions for clients, using Python, cloud platforms, and MLOps practices to drive measurable business value.
Lead AI product engineering for a healthcare insurer, building and shipping LLM-powered apps, agents, and RAG systems that integrate into claims, payments, and member workflows.
Designs and builds AI systems and data pipelines to automate university operations, focusing on LLM integration, ML model deployment, and enterprise system integration using Python, TensorFlow/PyTorch, and cloud services.
Build production-grade AI agents using LLMs, RAG, and orchestration frameworks, integrating them into Workday’s platform for enterprise-scale deployment.
Lead a team of data scientists to design, build, and deploy AI/ML models on GCP Vertex AI, guiding strategy and mentoring while ensuring scalable, production-grade solutions for business stakeholders.
Build and own production ML systems for identity resolution, audience intelligence, and personalization using Databricks, Snowflake, and AWS to power WBD’s streaming and ad-tech platforms.
Build and deploy ML systems for identity resolution, audience modeling, and personalization on AWS/Databricks, turning first-party data into scalable ML capabilities for media and advertising.
Lead AI engineering for financial clients, building and deploying GenAI and multi-agent systems while mentoring teams and ensuring compliance with enterprise standards.
Principal architect role defining and leading the AI SoC runtime that coordinates sensor ingest, AI inference, and postprocessing across heterogeneous compute engines for edge/robotics applications.
Senior Data Scientist building and deploying ML models for UK government programmes, collaborating with engineers and stakeholders to deliver data-driven solutions.
Lead high-impact ML projects and set technical standards for a neobank’s Data Science & AI teams, designing credit, fraud, and personalization models at scale.
Senior technical advisor designing and validating MinIO’s AIStor object-storage architectures for AI, analytics, and large-scale data workloads, guiding customers from discovery to production.
Design and deploy deep-learning perception models for ADAS in commercial EVs, optimizing neural networks for embedded automotive hardware.
Build and deploy ML models for cybersecurity use cases like threat detection and risk scoring using Python, PyTorch, and cloud-native pipelines.
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