Artificial Intelligence Specialist #1056879
Position Description:

• Support our AI and ML engineering capability within the TOP platform, including model fine-tuning oversight, agentic orchestration architecture, and LLM evaluation
• Oversee vendor fine-tuning of Google Cloud Vertex AI using our proprietary diagnostic data, ensuring compliance with our IP protection requirements and model weight storage architecture
• Design and build our Orchestration Layer
• The integration framework that connects external AI engine with our other internal AI engines and TOP platform services
• Evaluate AI engine outputs against defined accuracy, latency, and first-time fix rate metrics; drive iterative improvement through structured feedback loops
• Define model evaluation frameworks and acceptance criteria for AI-generated triage recommendations, ensuring clinical accuracy before dealer-facing deployment
• Build our internal tooling for model monitoring, drift detection, and retraining triggers within our GCP environment
• Collaborate with our data engineering team to define data preparation and feature engineering requirements that support model fine-tuning and inference quality
• Partner with our GCP Cloud Engineers to ensure model artifact storage, versioning, and access controls comply with our IP and security policies
• Contribute to the long-term insourcing roadmap by documenting model architectures, training pipelines, and prompt frameworks in sufficient detail to enable internal replication
• Represent AI and ML engineering in architecture reviews and vendor technical discussions.

 
Skills Required:
Technical Communication, Communications, Google Cloud Platform, TensorFlow, Data Governance, Machine Learning, Python, Artificial Intelligence & Expert Systems

• Technical Communication - 2-5 years translating complex technical concepts — such as ML model behavior, data pipeline architecture, or platform design decisions — into clear documentation, proposals, and presentations for both technical and non-technical audiences including engineering leads and product stakeholders.
• Communications - 2-5 years of demonstrated ability to communicate effectively across cross-functional teams, including facilitating technical discussions, contributing to design reviews, and keeping stakeholders aligned on project status, risks, and decisions.
• Google Cloud Platform - 2-5 years of hands-on experience with GCP services relevant to AI/ML and data workloads, including Vertex AI, BigQuery, GCS, Dataflow, or Cloud Composer, with the ability to deploy and manage workloads in a production cloud environment.
• TensorFlow - 2-5 years building, training, and evaluating machine learning models using TensorFlow or TensorFlow Extended (TFX), including experience with model versioning, pipeline integration, and deploying models to production serving infrastructure.
• Data Governance - 2-4 years applying data governance principles including data lineage, access controls, metadata management, and compliance standards to ensure telemetry and ML datasets meet quality, security, and regulatory requirements.
• Machine Learning - 3-5 years of applied ML experience including feature engineering, model selection, training, validation, and deployment. Candidate should be comfortable working with both structured and unstructured data in the context of real-world engineering or automotive telemetry use cases. SEE ADDITIONAL INFORMATION FOR #7 AND #8

 
Skills Preferred:

• Telematics 1. Telematics - 1-3 years of exposure to telematics data systems, including vehicle data collection, event streaming, or connected vehicle platforms.
• Familiarity with how telematics data is ingested, processed, and applied to ML or analytics use cases is a strong plus in the context of our Telemetry & Observability Platform.

 
Experience Required:

• 5 or more years of professional experience in machine learning engineering, AI systems development, or applied AI research
• Hands-on experience fine-tuning LLMs in a cloud environment, with specific preference for Google Cloud Vertex AI or equivalent managed ML platforms
• Demonstrated experience building agentic AI systems using frameworks such as LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling
• Proficiency in Python and ML development tooling including Hugging Face, PyTorch or TensorFlow, and MLflow or Vertex AI Experiments
• Experience designing and evaluating LLM outputs for production systems, including prompt engineering, retrieval-augmented generation (RAG) architectures, and model evaluation metrics
• Strong understanding of MLOps practices including model versioning, deployment pipelines, monitoring, and retraining workflows on GCP
• Experience working in regulated or IP-sensitive environments where model artifact ownership and data governance are active concerns
• Strong written and verbal communication skills; ability to translate technical AI concepts for non-technical executive stakeholders

 
Experience Preferred:

• Experience in automotive diagnostics, vehicle telematics, or connected vehicle platforms
• Familiarity with Diagnostic Trouble Code (DTC) data, Over-the-Air (OTA) update systems, or repair order (RO) data structures
• Experience with multi-agent AI systems and tool-use patterns in production
• Google Cloud Professional Machine Learning Engineer certification

 
Education Required:

• Bachelor's Degree

 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
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AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.