Senior ML Engineer: IoT Fleet Health & Predictive Analytics

Manpower, Inc.; Milwaukee (WI); On-site; USD 130,000 - 180,000; Full time

Job summary

Manpower, Inc. in Milwaukee is seeking a Senior Engineer, Machine Learning to define the scope of ML initiatives and design end-to-end pipelines supporting product performance and outage detection.

You will build, validate, and deploy ML models, monitor performance, and mentor engineers while collaborating with data scientists, data engineers, and reliability teams to translate findings into actionable insights.

Qualifications

• 5+ years of related experience in machine learning, data science, or applied analytics; a Master's degree with related research may count toward a portion of this experience
• Strong foundation in engineering and statistical fundamentals
• Proficiency in Python and SQL; experience with NoSQL data stores, Elasticsearch, Amazon Redshift, Grafana, and Jupyter Notebooks; additional languages (e.g., C#) a plus
• Experience with version control tools and workflows (e.g., GitHub) for code and model management
• Experience with cloud-based data and machine learning platforms, preferably Amazon Web Services (e.g., S3, SageMaker, Redshift, EC2, ECS, Glue)
• Significant experience with statistics, machine learning, or other mathematical modeling and simulation techniques, including predictive modeling, classification, time series data mining, and anomaly detection
• Experience modeling performance and detecting anomalies in IoT device, sensor, or endpoint data at scale
• Experience with large-scale time series data sets and near-real-time analysis
• Experience designing, testing, validating, and deploying machine learning models in a production environment
• Experience with data visualization and business intelligence tools
• Ability to work with non-technical stakeholders to define expectations and success criteria for new models and algorithms, and to communicate results clearly

Responsibilities

• Lead the design, development, testing, validation, deployment, and monitoring of ML pipelines and models
• Define scope and budgets for ML projects and set design/validation standards
• Mentor other engineers on data ingestion, cleaning, and model development
• Maintain model performance dashboards and address customer-impacting model behavior
• Collaborate with engineers, data scientists, and reliability teams to address product weaknesses
• Share standardized ML libraries and best practices across teams
• Contribute to data infrastructure and integration with external data sources
• Interface with AWS cloud infrastructure for ML workloads and data platforms
• Provide field-ready insights via dashboards and reporting tools

Skills

Python

SQL

Statistics

Machine learning

Data visualization

Education

Bachelor's or Master's in Engineering/CS/Data Science

Tools

Elasticsearch

Amazon Redshift

Grafana

Jupyter Notebooks

GitHub

SageMaker

EC2

ECS

Glue

S3

Job description

Manpower, Inc. in Milwaukee is seeking a Senior Engineer, Machine Learning to define the scope of ML initiatives and design end-to-end pipelines supporting product performance and outage detection.

You will build, validate, and deploy ML models, monitor performance, and mentor engineers while collaborating with data scientists, data engineers, and reliability teams to translate findings into actionable insights.