AI Consultant - Manufacturing

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 TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.

* 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:

Commercial buses and trucks

1. Construction equipment

2. Industrial equipment

3. Agricultural equipment