Senior Engineer Machine Learning

Our client, a technology-driven organization focused on large-scale IoT and product performance, is seeking a Senior Engineer Machine Learning to join their team. As a Senior Engineer Machine Learning, you will be part of the Engineering organization supporting the Systems Integration team and cross-functional partners. The ideal candidate will have strong ownership mindset, the ability to define scope and validation criteria, and the drive to turn fleet-scale data into reliable machine learning outcomes that improve installation quality, outage detection, and overall system health.

Job Title:Senior Engineer Machine Learning

Location:Milwaukee, Wisconsin

Pay Range:$120000 - $130000

What's the Job?

• Act as project lead for machine learning initiatives, defining scope, tasks, schedules, and budgets for investigations and model development.
• Design, build, test, validate, deploy, and continuously tune end-to-end machine learning pipelines that support product performance, installation quality, outage detection, and fleet-wide health monitoring.
• Develop predictive models, classifiers, time series data mining solutions, and anomaly detection algorithms to monitor millions of deployed meters, sensors, radios, connectivity equipment, and related IoT devices.
• Own model performance monitoring by reviewing dashboards, detecting drift or degraded behavior, and leading remediation actions or handing off findings to design and reliability engineering.
• Represent the team on projects and investigations by reporting results to leadership and mentoring other engineers on data ingestion, cleaning, and model development practices.

What's Needed?

• Bachelor's Degree (or equivalent practical experience) with strong engineering and statistical foundations.
• 5+ years of related experience in machine learning, data science, or applied analytics, including work with distributed sensor and device network data.
• Proficiency in Python and SQL, with experience using tools and platforms such as Elasticsearch, Amazon Redshift, Grafana, and Jupyter Notebooks (additional languages like C# are a plus).
• Experience with AWS cloud infrastructure for machine learning workloads, including SageMaker, EC2, ECS, and Glue, plus familiarity with S3 and production deployment workflows.
• Demonstrated ability to design, test, validate, and deploy machine learning models in production, including monitoring for drift and performance degradation at scale.

What's in it for me?

• Bonus opportunity: 6% of base (can earn up to 200% of that 6%).
• Benefits package available.
• Opportunity to lead high-impact machine learning initiatives that directly influence product reliability and customer outcomes.
• Collaboration with developers, data engineers, data scientists, and reliability/quality/design engineering to improve weaknesses revealed by fleet and field data.
• Room to mentor engineers and help standardize model design and validation practices across teams.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.