About this role
Senior ML Engineer at Scale AI focuses on deploying agentic AI models for government systems, spanning LLMs and computer vision, with a strong emphasis on production-grade ML and scalable infrastructure.
Key Responsibilities
- Take state of the art models and deploy in production
- Improve/maintain production models via retraining and tuning
- Collaborate with product/research to prototype ML enhancements
- Work with massive datasets to develop generic and product-specific models
- Build scalable ML infrastructure and serve as a cross-functional ML advocate
Technical Overview
Role involves building and maintaining production ML models, developing robust ML infrastructure, and integrating LLMs and retrieval pipelines into government-focused products, using Python with TensorFlow/PyTorch on AWS/GCP.
Ideal Candidate
The ideal candidate is a senior ML engineer with production experience across computer vision, NLP/NLG, RL, and agentic systems, capable of shipping models into government-facing deployments. They should be comfortable working with large datasets, architecting scalable infrastructure, and navigating security-clearance requirements.
Must-Have Skills
Extensive experience with computer visionExtensive experience with deep learningExperience with deep reinforcement learning or NLP in productionStrong programming skills in PythonExperience with TensorFlow or PyTorchActive security clearance or ability to obtain clearanceExperience with cloud platforms (Amazon Web Services or Google Cloud Platform)
Nice-to-Have Skills
Graduate degree in Computer ScienceMachine Learningor AIExperience with cloud platforms (AWS or GCP) and cloud deploymentsExperience with agentic systemsFamiliarity with ML evaluation frameworks and agentic model design
Tools & Platforms
TensorFlowPyTorchAPIsRetrieval pipelinesLarge Language ModelsAmazon Web ServicesGoogle Cloud Platform
Required Skills
computer visiondeep learningdeep reinforcement learningnatural language processingPythonTensorFlowPyTorchLarge Language Modelsretrieval pipelinesproduction MLAmazon Web ServicesGoogle Cloud Platform
Hard Skills
PythonTensorFlowPyTorchComputer VisionDeep LearningDeep Reinforcement LearningNatural Language ProcessingLarge Language ModelsRetrieval pipelinesAmazon Web ServicesGoogle Cloud Platform
Soft Skills
collaborationcommunicationproblem-solvingfast-pacedlearning agilityownershipleadershipstakeholder management
Keywords for Your Resume
senior machine learning engineerscale aipublic sectorgovernmentllmlarge language modelsagenticretrieval pipelinesproduction mlcomputer visionreinforcement learningdeep learningnatural language processingpythontensorflowpytorchawsamazon web servicesgoogle cloud platformsecurity clearancedefense applicationsLLMsproduction MLPythonTensorFlowPyTorch
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