Principal AI Consultant – Service Lifecycle Management

1 week ago

Oakland, California, United States Mogi IO : OTTPodcastShort Video Apps for you Full time $150,000 - $199,000 per year

**Work Type: Direct Hire / Full-Time

Experience Required: 10 – 21 Years

Compensation: USD 150,000 – 199,000 Per Annum + Bonus up to 20%

Eligibility: Green Card Holders, US Citizens, H1B Transfer

Travel Requirement: As Required (Client Workshops & Solutioning)
Job Overview
We are seeking a highly experienced AI Consultant with strong expertise in machine learning, deep learning, generative AI, and agentic AI, backed by robust domain knowledge in Manufacturing & Service Lifecycle Management (SLM).

The ideal candidate is a full-stack AI engineer capable of architecting, developing, and scaling AI solutions across automotive, commercial vehicles, heavy equipment, and industrial manufacturing environments.
This role blends hands-on technical work with consultative leadership, including pre-sales support, client advisory, PoCs, and end-to-end AI solution delivery.
Key Responsibilities**

  • Identify AI use cases, lead workshops, and design scalable solutions.
  • Build PoCs and prototypes to validate business value.
  • Develop AI pipelines for vision, NLP, and time-series.
  • Build GenAI apps, agent workflows, and RAG-based knowledge systems.
  • Own end-to-end delivery from data to deployment.
  • Deploy AI solutions on AWS/Azure/GCP.
  • Implement MLOps pipelines, CI/CD, and monitoring.
  • Deploy models via Docker/Kubernetes and APIs.
  • Apply AI to design, production, quality, and service operations.
  • Build predictive maintenance, defect detection, and process optimization solutions.
  • Lead client presentations and innovation demos.
  • Mentor teams and contribute to reusable AI frameworks.

Must-Have Qualifications

  • 12–15 years of experience in AI/ML, including 2+ years in Generative AI / LLMs / Agentic AI.
  • Strong expertise in ML, DL, NLP, vision systems, and time-series modeling.
  • Proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain.
  • Proven cloud delivery experience on AWS / Azure / GCP.
  • Hands-on experience with Docker, Kubernetes, API deployment.
  • Proficiency in MLOps/LLMOps tools: MLflow, Azure ML, Vertex Pipelines, Kubeflow.
  • Strong knowledge of manufacturing operations, IoT, field service, and SLM data models.
  • Excellent communication & client-facing skills.

Nice-to-Have Qualifications

  • Experience with Digital Twins, Predictive Maintenance, Industrial IoT.
  • Knowledge of vector DBs: Pinecone, Weaviate, FAISS, Azure AI Search.
  • Familiarity with PLM/ERP/SLM systems: PTC Windchill, Teamcenter, SAP S/4HANA.
  • Automotive, commercial vehicle, or heavy machinery industry background.
  • Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer).

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