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Python
SQL
Where the posting names them
- Working knowledge of CAD, CAE, and Design for Manufacturing (DFM).
- Experience in Python, SQL, data analytics, and machine learning fundamentals.
- Knowledge of predictive modeling, anomaly detection, and Exploratory Data Analysis
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Develop patentable automotive spare part innovations and AI/ML-based monitoring solutions by combining expertise in automotive engineering, CAD/CAE, manufacturability, data analytics, and intellectual property development.
Scope of Work
Innovation & Patent Development
Identify and develop patentable design improvements for automotive spare parts.
Conduct design thinking workshops with R&D and cross-functional teams to generate innovative concepts.
Support invention disclosure, prior-art analysis, and patent filing activities.
Drive innovation initiatives focused on product enhancement, reliability, manufacturability, and cost optimization.
Automotive Design & Engineering
Evaluate automotive components from design, CAE, manufacturability, and serviceability perspectives.
Perform feasibility assessments and support concept validation activities.
Collaborate with design, testing, quality, manufacturing, and aftersales teams.
AI/ML & Aftersales Analytics
Develop predictive models and monitoring algorithms for spare part health, anomaly detection, failure prediction, and warranty analytics.
Leverage service records, warranty claims, vehicle diagnostics, telematics, sensor data, and parts sales data to identify patterns and trends.
Support development, validation, and continuous improvement of AI/ML algorithms and monitoring solutions.
Data Analytics & Insights
Collect, preprocess, and analyze large datasets from multiple automotive data sources.
Generate actionable insights, KPIs, and performance indicators to support business and engineering decisions.
Research & Technology Exploration
Investigate emerging technologies in AI, Machine Learning, Generative AI, Predictive Maintenance, and Automotive Aftersales.
Create proof-of-concepts and assess applicability to future products and services.
Engineer with a proven passion for innovation, automotive product development, patent creation, and AI-driven analytics, capable of bridging physical product engineering with intelligent digital solutions.
Qualifikationen
B.Tech/M.Tech in Automobile Engineering, Mechanical Engineering, Computer Science, AI & Data Science, or related disciplines.
Strong understanding of automotive systems, components, and aftersales processes.
Working knowledge of CAD, CAE, and Design for Manufacturing (DFM).
Experience in Python, SQL, data analytics, and machine learning fundamentals.
Knowledge of predictive modeling, anomaly detection, and Exploratory Data Analysis
Demonstrated innovation mindset with exposure to patent generation and intellectual property processes.
Strong analytical, problem-solving, communication, and stakeholder management skills