FastTek Global
Machine Learning Engineering Engineer #1039390
FastTek Global, Allen Park, Michigan, United States, 48102
Allen Park, Michigan 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
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
Benefits
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
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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
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
Benefits
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
#J-18808-Ljbffr