• Machine Learning Engineer

    HTC Global Services Inc (Dearborn, MI)


    Make a difference

     

    HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.

     

    At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.

    Job 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:

    + 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

     

    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

     

    Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier.

     

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