Senior Machine Learning Engineer

WebAI
Austin
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Problem solving","Communication","Team collaboration"]

Senior ML Engineer to design, deploy, and productionize AI systems for public sector environments, spanning cloud to edge devices. Focused on multi-modal AI, RAG pipelines, adaptive ML via LoRA/PEFT, and optimized on constrained hardware with PyTorch, TensorFlow, and Hugging Face Transformers. Responsible for turning research prototypes into scalable production solutions with robust, secure performance across diverse connectivity scenarios.

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FursaFursa
WebAI
WebAI
5 months ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Senior ML Engineer to design, deploy, and productionize AI systems for public sector environments, spanning cloud to edge devices. Focused on multi-modal AI, RAG pipelines, adaptive ML via LoRA/PEFT, and optimized on constrained hardware with PyTorch, TensorFlow, and Hugging Face Transformers. Responsible for turning research prototypes into scalable production solutions with robust, secure performance across diverse connectivity scenarios.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
  • •Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
  • •Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization.
  • •Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.
  • •Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.

Pay and Benefits

Perks:Health InsuranceDentalVision401kWellness StipendContinuing EducationParkingParental LeaveLife Insurance

Key Requirements

  • •Active US Security clearance
  • •4+ years of experience in applied AI, ML engineering, or production AI systems
  • •Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers
  • •Proven experience deploying AI models across cloud, edge, and mobile hardware environments
  • •Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone)
Experience:4+ yearsPublic sectorAiMachine learningEdge computing
Skills:Problem solvingCommunicationTeam collaboration
Languages:English
Tech Stack:PyTorchTensorFlowHugging Face TransformersLoRAPEFTRAGChromaDBFAISSMilvusPineconeCUDA

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.
Security Clearance:Active US Security clearance

Company Brief

WebAI
Provides an AI platform to build, deploy, and manage web-based AI applications, offering tools for natural language, vision, and web automation so businesses and developers can integrate intelligent features into websites and products.
Industry: AI & Machine Learning
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