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Bosch Global Software Technologies Private Limited

Machine Learning Engineer

Bosch Global Software Technologies Private Limited, Dearborn, Michigan, United States, 48120

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Location:

Dearborn (MI)

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Employment Type:

Full Time - 40 hours per week

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Job Level:

T2

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Work Preference:

Hybrid

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Job Code:

238942

Job Description 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.

Overview 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

Responsibilities include data analytics

Data analytics for key launch business metrics, including data collection & analysis, AI-assisted research & insights, Python automation, presentation development, AI-enhanced deliverables, and business plan support

Skills Required

Python – Intermediate skills with Python for data extraction & quality profiling and data transformation using clean-up and normalization (aggregation with pandas)

Data visualization using statistical insights to capture analytical insights for stakeholders

Forecasting – Understanding of applied statistics and exposure to analytical forecasting tools (e.g. scikit-learn or stats models, Excel Solver and/or introductory exposure to Python libraries such as 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

Positive attitude and strong interpersonal skills; able to communicate at various levels of the organization

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

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 libraries (PuLP, OR-Tools) is a plus

Ability to translate technical findings into executive-ready business recommendations

Education Required

Bachelor's Degree

Rest of responsibilities

include data analytics for key launch business metrics; this section has been consolidated for clarity and to avoid duplication.

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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At HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.

Hybrid and Workplace flexibility

Work-Life-Balance

Well-defined career development plan

Rewards & Recognition program

L&D focuses on upskilling

Hands-on experience on Emerging Technologies and Digital Transformation

Career Mobility programs

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