Principal Lead AI ML Engineer

Lorven Technologies Inc
Dallas, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Distributed Systems Graph Database Python (Programming Language) Machine Learning Neo4j Performance Tuning Azure Machine Learning Search Technologies SPARQL
+6 more
Datadog Large Language Models Generative AI Information Technology Machine Learning Operations Artificial Intelligence Markup Language (AIML)

Job description

Company Overview: General Dynamics Ordnance and Tactical Systems (OTS) is a global leader in the design, engineering and production of munitions, energetics, weapons, armaments, an…

  • 29 days ago

Requirements

  • Bachelor’s degree or Masters Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.
  • Strong AI/ML engineering background with deep expertise in: Python, Model development, training, tuning, and deployment.
  • Extensive hands on experience with: LLMS, SMLS, Generative AI and reasoning models.
  • Strong experience with: Neo4j, GraphDB, RDF, OWL, Cypher, SPARQL
  • Proven ability to implement: Entity linking and resolution, Semantic search, Relationship mapping and inference.
  • Experience building GenAI systems using: LangChain, LangGraph, LlamaIndex, OpenAI / Azure OpenAI, Vector databases such as Pinecone and FAISS
  • Strong experience in MLOps and LLMOps, including: MLflow, Azure ML, Datadog, CI/CD automation for ML systems
  • Experience deploying and operating AI systems in production environments.
  • Experience building and optimizing AI/ML and graph pipelines either of any on: Azure/ AWS/ GCP
  • Strong understanding of distributed systems, scalability, and performance optimization.
  • Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

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