Machine Learning Engineer

Miracle Software Systems, Inc. is actively seeking an experienced ML Engineer to support one of its direct clients in Dearborn, Michigan. Please review the job description below and share your updated resume if interested.

Requirement Details:
Job Title: Machine Learning Engineer
Location: Dearborn, Michigan.
Duration: Full-time

Skills Required: AI, ML, Python, Forecast

Description:
Experience Required: 5+ years

Work Status: Hybrid
"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: 1) Collaborate with business and technology stakeholders to understand current and future ML requirements 2) Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments 3) Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure 4) 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 5) Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others. 6) Train and re-train ML models and systems as required 7) Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios 8) Automate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps 9) Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems

Skills Required:
1. 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 2. 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]).

Skills Preferred:
N/A

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

Education Preferred:
Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information:
***POSITION IS HYBRID / 4 days per week in office*** Responsibilities include data analytics for key launch business metrics. 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"

If you re interested, please send your updated resume to amishra1@miraclesoft.com or contact me at (two four eight) - (four one two) - (zero three five four)

About Miracle Software Systems, Inc.: Incorporated in 1994, we have come a long way from our roots. Growing from the days of MRP to ERP transition and the birth of the Internet, we are now a leader in the IT world, working with the latest technologies to innovate and help businesses across the globe evolve. Headquartered in Novi, Michigan with over 2500 Miraclites across the globe, Miracle is a privately owned, minority-certified firm focussed on helping our customers transform digitally. We are proud to share the awards and accolades we have received and the milestones we have achieved throughout our 30-year history. Together with our partners, we assist our customers in creating new business models and driving strategic value in the digital era.