VDart
Sr. AI/ML Engineer
Frisco, Texas, USA · Senior · contract, third party
Sponsorship not specifiedDetected 35 days ago
AzureMachine LearningNLPLLMsRAGLLMOpsMLOpsAI OrchestrationHIPAALeadership
About the role
- You will play a thought leadership role, guiding senior stakeholders on AI strategy, architecture decisions, and execution models-bringing both hands-on expertise in GenAI and traditional AI/ML as well as experience advising VP/Sr.
- Director-level leadership in large enterprises.
Responsibilities
- Review data strategy, labelling effort sizing, evaluation harness design, and MLOps requirements for each workload.
- Advise on how to structure the business case and design the appropriate AI architecture including executive-level cost, latency, and accuracy comparisons.
- Experience designing multi-task NLP pipelines covering classification, named entity recognition, document extraction, RAG, and reasoning.
Requirements
- What You Must Have 8+ years of experience in applied ML and AI, with at least 3-4 years in enterprise NLP or LLM/SLM system design and deployment.
- Demonstrable hands-on experience with SLMs including fine-tuning and deployment using models such as Phi, Gemma, Llama, Mistral, or Qwen families.
- Strong understanding of frontier LLM APIs (OpenAI, Azure OpenAI, Anthropic) and when they add genuine value over smaller models.
- Ability to translate model architecture decisions into cost models and business cases (implementation cost, run cost, savings, ROI).
- What is highly desirable Experience with automation or workflow orchestration in high-volume operational environments.
- Knowledge of LLMOps practices for SLM deployment including quantization, batching, model versioning, and latency benchmarking.
Skills
- The engagement spans multiple high-impact use cases in Telco Ops, along with a broader model selection and cost-governance framework.
Benefits
- Experience with at least one of the following verticals: telecom, healthcare, or industrial/manufacturing B2B operations.
This listing is sourced directly from VDart's careers page and normalized into a canonical job model.