Principal Lead AI ML Engineer
Lorven Technologies Inc
Dallas, TX, United States
2 months ago
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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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