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AI/ML Engineer, Lead
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 (AHT)
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.
Associate AI Software Engineer/ AI Software Engineer (AHT)
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.
AI Engineer
Build and deploy production-grade AI and Generative AI solutions for clients, using Python, cloud platforms, and MLOps practices to drive measurable business value.
Staff AI Engineer – Analytics & Domain Intelligence
Build AI-powered analytics systems that turn GM’s telematics, aftersales, and energy data into natural-language answers for business decisions, using Python, SQL, and cloud platforms.
Senior Data Scientist
Lead AI and machine-learning projects for a large insurer, building generative and agentic solutions to extract insights and automate decisions across the business.
AI/ML Engineer/Architect
Design and deploy AI/ML systems to improve engineering productivity, firmware workflows, and product development at a semiconductor company.
Engineer II - AI/ML Engineering
Build and deploy enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance and cost-control measures across cloud platforms like GCP and AWS.
Data Scientist, Principal - AI Product Engineering
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.
Senior Principal Architect, Applied AI Enterprise
Lead the design and deployment of enterprise-scale AI agent systems at Caterpillar, focusing on agentic architectures, orchestration, and integration with cloud AI platforms.
Engineer II - AI/ML Engineering
Build and deploy enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance, monitoring, and cost controls across cloud platforms like GCP and AWS.
Amazon Senior Software Engineer Agentic AI, Amazon's Talent Solution’s Core Science and Engineering
Build scalable MLOps/GenAIOps systems to deploy and manage AI models for talent evaluation at Amazon, using LLMs, RAG, and distributed ML pipelines.
Data Engineering Manager
Manage a team of Senior Data Engineers to build and maintain enterprise data pipelines, models, and integrations using Microsoft Fabric/OneLake and Azure DevOps, enabling self-service analytics for a credit union.
Associate AI Engineer
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.
Generative AI Senior Delivery Lead
Lead the end-to-end delivery of enterprise generative AI and agentic systems, architecting production-ready solutions using hosted foundation models, RAG, knowledge graphs, and multi-agent orchestration on AWS.
Senior Full-Stack Cloud Developer
Build and lead enterprise-grade full-stack cloud applications using Java/Spring Boot, React/Angular, and microservices on GCP/AWS, while mentoring teams and modernizing legacy systems.
Lead Data Scientist
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.
Senior Machine Learning Engineer, Hyderabad
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.
Staff Machine Learning Engineer, Hyderabad
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.