Tavant - Careers
AI Consultant - Manufacturing Share Job Apply
Job Description: 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.
Key Responsibilities
Partner with manufacturing and service leaders to identify high-value AI use cases across product design, predictive maintenance, warranty analytics, service operations, and supply chain optimization.
Drive pre-sales engagements, client workshops, and AI opportunity assessments for industrial clients.
Develop proof-of-concepts, rapid prototypes, and demos to demonstrate business value.
Translate business problems into AI/ML solution architectures and roadmaps.
Design and build end-to-end AI pipelines for time-series analysis, anomaly detection, vision-based inspection, and document understanding.
Lead development of GenAI applications and agentic AI workflows for service manuals, parts lookup, and technician copilots.
Architect and deploy RAG-based knowledge assistants trained on technical documentation, service data, and IoT telemetry.
Work across data engineering, modeling, and deployment, ensuring full lifecycle delivery and performance optimization.
Deliver AI workloads on AWS (SageMaker, Bedrock), Azure (ML, OpenAI, AI Studio), or GCP (Vertex AI, Gemini).
Implement MLOps/LLMOps practices for model versioning, deployment automation, and monitoring.
Deploy containerized solutions with Docker/Kubernetes and expose models through APIs (FastAPI, Flask, or similar).
Integrate with edge AI or IoT platforms for predictive and real-time inference scenarios.
Apply AI across the end-to-end product and service lifecycle, including:
Product Design: Quality prediction, digital twins, defect classification.
Production: Process optimization, yield improvement, quality inspection using computer vision.
Aftermarket Services: Predictive maintenance, spare parts forecasting, intelligent service documentation.
Warranty & Field Data Analytics: Root cause analysis, failure mode detection, service call optimization.
Design GenAI copilots for service engineers and dealerships, integrating technical documentation, sensor data, and knowledge graphs.
Enable closed-loop feedback between engineering, manufacturing, and service through intelligent automation.
Represent the organization in client solutioning sessions, RFPs, and innovation showcases.
Mentor teams in full stack AI development, industrial AI frameworks, and GenAI best practices.
Collaborate with domain and product experts to evolve AI-driven SLM accelerators and reference architectures.
Required Skills & Qualifications
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.
Preferred Skills
Exposure to Digital Twin frameworks, predictive maintenance systems, and industrial IoT architectures.
Experience with vector databases (Pinecone, Weaviate, FAISS, Azure AI Search).
Knowledge of PLM, ERP, and SLM platforms (PTC Windchill, Siemens Teamcenter, SAP S/4HANA, etc.).
Background in automotive, commercial vehicles, or heavy equipment manufacturing.
Certification in Azure AI Engineer, AWS Machine Learning Specialty, or GCP Professional ML Engineer.
Why Join Us
Drive the next wave of AI-led digital transformation in manufacturing and aftersales service.
Build intelligent copilots, autonomous agents, and predictive systems for leading global OEMs.
Collaborate with a team of AI experts and domain consultants pushing the frontier of industrial and agentic AI.
Influence the evolution of service lifecycle management through data-driven intelligence and automation.
Location: Santa Clara / Dallas
Years Of Exp: 15 to 18 years
Designation: Senior Lead Data Scientist
tags: Python, Azure, GenAI, Agentic AI, Langchain, Vector DB
Please write to careers@tavant.com if you have any questions regarding this job opportunity.
Didnt find a job that fits you, or not ready to apply yet? Follow us on LinkedIn, Instagram, Facebook and X, and we will make sure you are updated on whats happening at Tavant and what we are up to.
About The Company
With more than 24 years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries, such as Fintech, Manufacturing, AgTech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific.
Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrows technology and brilliant minds to create it. Furthermore, we do not focus just on what we do - we also care about how we do it. So, bring your talent and ambition to make a difference. We will create a world of opportunities for you.
Apply Back
Introduction
Tavant ('we,' or 'us') is committed to protecting your online privacy and recognizes the need for appropriate protection and management of any personal information you may share with us. By personal information we mean any information that may identify an individual, including, but not limited to, a first and last name, physical address (whether residential or official), email address, telephone number or other contact information.
This Privacy Notice:
Outlines the types of personal data we collect Describes how we collect your information Describes how we use the information, including who has access to your data Describes the steps we take to keep your personal data secure Explains your choices with respect to your personal data
Information We Collect
We collect and process information when you voluntarily submit it to us, or through other tracking technologies on our website, email communication or social channels. We are not responsible for the authenticity of the information you voluntarily provide, and it is your duty to ensure it is accurate. By providing your personal data, you agree to let us store and process it as per the provisions of this Privacy Notice.
Collected Automatically on Our Website
The following information is collected automatically when you visit our website:
Information on how you entered our site How you navigate our site, including the pages you visit, the date and time of your visit, the time spent on those pages, and other metrics Your browser software Your device type and operating system Your IP address The region or general location from where your computer or device is accessing the Internet
Our website also uses cookies. See the Cookie Policy section for more information.
Information You Provide on Our Website
In general, you can visit our website without telling us who you are or revealing any personal information about yourself. However, you may submit your information or be required to provide it in the following situations:
Send us a query through the Contact Us section on our landing pages Submit a request for proposal via the RFP panel on our offering pages Contact us via email addresses published on the Contact Us page Apply for a position through our Careers pages Download a white paper, case study or other document from our Insights page Register for newsletters, other news alerts, or for webinars.
The information you provide may include the following:
Your name Company name and address Your title or job role Your business and/or personal phone numbers Email address Your social media handles And any other information you provide through the contact forms.
Collected from Email Campaigns
If you are a recipient of our marketing communications, we will track whenever you receive, open, click a link, or share an email you receive from us.
When You Access Our Content on Third-Party Partner Websites
From time to time, we publish thought leadership, marketing collateral and webinars on third-party website platforms. When you access our content, we may collect your name, email address, contact number, title/job role, company you represent and any other Tavant content/links accessed.
Obtained from Corporate Marketing and Thought Leadership Events
We host various sales, marketing and thought leadership events from time to time. We may collect your name, email address, contact number, title/job role and the company which you represent from such events.
Additionally, our company representatives may visit similar events conducted by other companies or forums. They may receive business cards from you at these events, to facilitate establishing a working relationship with the client you represent.
Obtained from Third-Party Business Directory Services
We have carefully selected and contracted with third-party agencies providing business contact directory services, and may obtain your name, gender, title, company you represent, work phone number, work email address, and work address as a potential business contact.
Obtained from 'Friends and Family' Connections
We may receive information related to your name, company you represent, title/job role, phone number, and email address from our business leaders who have established professional/personal connections with you.
Obtained from Public Sources and Professional Networking Platforms
We may also collect information