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AI Consultant - Manufacturing

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Tavant
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

We are looking for an experienced AI Consultant with deep expertise in machine learning, deep learning, and generative AI
, coupled with domain knowledge in Manufacturing and Service Lifecycle Management (SLM) — particularly in automotive (trucks, buses) and heavy equipment industries
.

The ideal candidate will be a full stack AI engineer capable of architecting, deploying, and scaling AI solutions across design, production, quality, aftersales, and service operations. This role blends hands-on technical development with consultative leadership
, including pre-sales, solutioning, prototyping, and client enablement
.

What we need
  • 12–15 years of experience in AI/ML, with at least 2+ years in Generative AI, LLMs, or Agentic AI
    .
  • Strong foundation in machine learning, deep learning, and industrial AI (vision, NLP, time series).
  • Expertise in Python and ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, Hugging Face, and Lang Chain.
  • Proven experience delivering solutions on AWS / Azure / GCP cloud environments.
  • Hands-on experience with containerization (Docker), orchestration (Kubernetes), and API deployment
    .
  • Familiarity with MLOps / LLMOps tools (MLflow, Azure ML, Vertex AI Pipelines, Kubeflow).
  • Strong understanding of manufacturing operations, IoT/edge AI, and service lifecycle data models
    .
  • Excellent communication and presentation skills for engaging technical and business stakeholders.
  • Data professional with experience in the manufacturing domain and hands-on AI expertise
  • Strong understanding of after-market sales in manufacturing
  • Experience with market campaigns, sales-related services, upselling, and equipment and parts management
  • Proven ability to work with and manage dealer networks
  • Capability to drive value creation between manufacturers and dealers from an after-market perspective
  • Consulting experience preferred
  • Industry experience in one or more of the following:
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