_{23rd October, 2025}

Machine Learning Engineering Engineer #1039390
Position Description:
Employees in this job function are responsible for designing, building, deploying and scaling complex self-running ML solutions in areas like computer vision, perception, localization etc. They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies, statistics, and coding for tool building and analysis. Key
 
Responsibilities:

• Responsibilities include data analytics for key launch business metrics.
• Collaborate with business and technology stakeholders to understand current and future ML requirements
• Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments
• Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure
• Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
• Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others.
• Train and re-train ML models and systems as required
• Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios
• Automate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps
• Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems

 
Skills Required:

• Python - The person should have intermediate skills with Python. For example, in their daily tasks, they can be expected to use Python for:
  • Data extraction & quality profiling
  • Data transformation using clean-up and normalization (aggregation with pandas)
  • Data visualization using statistical insights (e.g. statistical data correlations, pivot tables), so as to capture analytical insights for stakeholders
• Forecasting - Candidate should have an understanding of applied statistics and exposure to some analytical forecasting tools (e.g. scikit-learn or stats models, Excel Solver and/or introductory exposure to Python OR libraries [PuLP, OR-Tools]).

 
Experience Required:

• Bachelor's degree (Engineering, Data Science, Statistics, Computer Science, or related field preferred)
• Minimum of one year of recent automotive/other professional experience
• Proficiency in Python for data analysis and modeling
• Demonstrated ability to use AI tools effectively for research, problem-solving, and code generation
• Strong critical thinking skills to validate AI-generated outputs and integrate them with business context, based on professional and/or academic knowledge
• Positive attitude and strong interpersonal skills
• Able to effectively communicate at various levels of the organization, including senior leadership
• Strong ability to analyze and interpret data and provide actionable insights
• Highly organized and able to work in a fast-paced environment with competing priorities and diverse scopes
• Results-oriented mindset with proven ability to deliver insights on tight timelines

 
Experience Preferred:

• Launch experience in automotive new model programs
• Familiarity with AI-powered development tools (VS Code, Jupyter Notebook, GitHub Copilot, etc)
• Experience with using AI models to drive research and deliver solutions
• Knowledge of data processing & visualization libraries (Pandas, Numpy, Plotly, Matplotlib, Seaborn, etc.)
• Experience with SQL and database querying
• Knowledge of data visualization tools (Tableau, Power BI, etc.)
• Basic statistical and forecasting knowledge, simulation concepts, fundamentals of optimization and scenario analysis
• Exposure to scikit-learn or stats models, Excel Solver and/or introductory exposure to Python OR libraries (PuLP, OR-Tools) is a plus
• Ability to translate technical findings into executive-ready business recommendations

 
Education Required:

• Bachelor's Degree

 
Key deliverables include, but are not limited to:

• Data Collection & Analysis: Collect, cleanse, and interpret data using Microsoft Excel, SharePoint/database data, utilizing Python for analytics
• AI-Assisted Research & Insights: Leverage AI models (ChatGPT, Claude, Copilot, etc.) to conduct competitive analysis, research industry trends, explore analytical methodologies, and generate data-driven recommendations
• Python Automation: Develop Python scripts to automate repetitive data processing tasks, validate data quality, and accelerate analytical workflows
• Presentation Development: Create and prepare executive-level presentations using Microsoft PowerPoint that translate complex data findings into clear business recommendations
• AI-Enhanced Deliverables: Use AI assistants to refine narratives, validate assumptions, troubleshoot code, and ensure analytical rigor in final deliverables
• Business Plan Support: Support New Model Programs Business Plan Review forum with Global and Regional Directors by delivering actionable insights and data-backed recommendations

 
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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You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
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.
 
 

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