Lisle, IL

Developer Jobs in Lisle, IL

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1d ago

Senior Data Engineer & Data Scientist – Commercial Intelligence

International Motors, LLC Lisle, IL

Lisle, IL

1d ago

$160k - $240k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

International Motors, LLC is looking for a senior technical leader to support commercial intelligence for Retail Sales Management (RSM). In this hybrid role from Lisle, IL, you will build scalable data pipelines and data products that transform integrated commercial and enterprise information into intelligence embedded directly into dealer and sales workflows.

This position blends data engineering with machine learning and AI/LLM prototyping, with an emphasis on next-best-action and opportunity identification that teams can operationalize in day-to-day selling and dealer execution.

What you’ll do

Design, build, and maintain scalable data pipelines and data products that support RSM and broader commercial intelligence capabilities.
Integrate, normalize, and model data spanning customers, prospects, dealers, vehicles, sales, service, parts, CRM, digital interactions, and external sources.
Develop durable solutions for identity resolution, entity matching, deduplication, normalization, data lineage, and data quality across complex commercial datasets.
Build and operationalize analytical and machine learning models for lead scoring, opportunity identification, customer segmentation, propensity, prioritization, and next-best-action recommendations.
Convert complex commercial data into actionable intelligence embedded into dealer and sales workflows, not limited to dashboards or reports.
Collaborate with Product, Sales, Commercial, UX, Data, and Engineering teams to turn high-value business needs into production-ready data and analytical solutions.
Create reusable commercial data models, semantic structures, and ontology concepts covering customers, prospects, vehicles, dealers, opportunities, and sales activity.
Define and track data quality, model performance, and business-impact metrics, and resolve issues that affect trust in commercial intelligence.
Prototype and evaluate AI/ML approaches, including generative AI and LLM-based capabilities, to improve commercial decision-making and sales effectiveness.
Establish engineering and data-science practices including testing, observability, documentation, governance, versioning, CI/CD, and production deployment.
Own the full lifecycle of what you build, including operational readiness, production support, incident response, quality standards, and ongoing technical management.
Act as a senior technical leader in the RSM product team, influencing architecture and technical direction while mentoring other practitioners.
Communicate complex findings and technical decisions clearly to technical teams, product leaders, commercial stakeholders, and senior leadership.

Minimum qualifications

5+ years of data engineering, data quality, and/or analytics or statistical analysis experience (with a Master’s degree).
Strong hands-on experience building production-grade data pipelines, data models, analytical products, and commercial intelligence solutions at enterprise scale.
Advanced SQL and Python skills with sound software engineering practices.
Experience with modern cloud data platforms and distributed processing, with Palantir Foundry/AIP and/or Databricks strongly preferred.
Experience developing, deploying, and monitoring machine learning or statistical models on large, complex datasets.
Strong understanding of data quality, lineage, observability, governance, testing, and production operations.
Experience with entity resolution, identity matching, customer-360, master data, or similar commercial data problems.
Experience with customer, sales, CRM, marketing, vehicle, transactional, service, parts, or other commercial datasets.
Ability to translate ambiguous commercial problems into data products, models, experiments, and measurable outcomes.
Experience embedding analytical intelligence into operational applications and workflows.
Familiarity with LLMs, retrieval, AI agents, or AI-assisted decision systems.
Demonstrated ability to influence technical direction and drive outcomes across Product, Engineering, Data, and business teams.
Highly proactive, ownership-driven mindset capable of operating independently in ambiguity.
Excellent written and verbal communication skills.
Coach and mentor other data scientists and data engineers.
Legally authorized to work in the United States on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee). Employment sponsorship is not anticipated (e.g., H-1B).

Preferred technologies and skills

SQL, Python, Palantir Foundry, Palantir AIP, Databricks
Machine learning, LLMs, generative AI, LLM-based capabilities, retrieval, AI agents
CI/CD, API-first and event-driven architectures
Ontology, ontology concepts, semantic modeling, ontology design
OSDK (and related Palantir Foundry experience, including pipelines, ontology design, AIP, and operational applications)

Compensation and location

Location: Lisle, IL (hybrid)
Salary: USD 160,000 - 240,000 per year

Benefits

Competitive market-based compensation.
Comprehensive benefits package designed to support employee wellbeing.

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1mo ago

Machine Learning Engineer

Molex Lisle, IL

Lisle, IL

1mo ago Closed

$170k - $250k/yr Full time Python Artificial Intelligence Azure Gpu Compute

This position is no longer accepting applications (closed Sep 23, 2026).

Job Description

Molex is building an engineering optimization workflow that replaces slow simulation loops with physics-aware machine learning. In this role, you will develop physics-informed surrogate models on Azure Machine Learning, turning design parameters into simulation-ready predictions in milliseconds so teams can pre-screen candidate designs faster. You will also deploy, version, and continuously evaluate these models in production alongside data science and MLOps partners.

Location: Lisle, IL 60532 (onsite)
Compensation: USD 170,000 - 250,000 per yearly
Experience: 10+ years

What You’ll Do

Design and train surrogate models using neural networks, Gaussian processes, gradient-boosted trees, and GNNs/PINNs.
Run model training on Azure GPU compute (ND/NC series).
Incorporate physics-informed constraints so predictions remain physically valid rather than only statistically well-fit.
Create model-uncertainty and confidence scoring to identify which designs require full simulation validation, then use new validation results to retrain.
Deploy and manage model lifecycle using Azure ML endpoints and model registry, including rolling drift monitoring.
Benchmark surrogate performance against full-simulation speedup to inform platform-level performance tuning.

Requirements

Extensive hands-on experience building, training, and deploying ML models in production, not only consuming pretrained APIs.
10+ years building ML for physical or engineering systems, including surrogate modeling, physics-informed ML, or scientific ML.
Strong Python experience with PyTorch or TensorFlow.
Understanding of relevant engineering/physics fundamentals and the simulation data formats for your domain.
Experience with Azure Machine Learning or a similar cloud ML platform.
Familiarity with uncertainty quantification, including Bayesian approaches and ensembling.

Technologies

Azure Machine Learning
Azure GPU compute (ND/NC series)
Python
PyTorch, TensorFlow
Azure ML endpoints, model registry
Neural networks, Gaussian processes, gradient-boosted trees
GNNs, PINNs
Bayesian approaches, ensembling
GPU-heavy training

Benefits

Medical
Dental
Vision
Flexible spending and health savings accounts
Life insurance
ADD
Disability
Retirement
Paid vacation/time off
Educational assistance
May also include infertility assistance
Paid parental leave
Adoption assistance

Who Will Put You Ahead

Direct experience with industry-standard EM or physics simulation tools.
Geometric deep learning experience, including graph neural networks and mesh-based models for CAD data.
Background in RF/high-speed electronics or interconnect design.

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3mo ago

GIS Commercial Software Developer

ENTRUST Solutions Group Lisle, IL 🇺🇸 Remote

Lisle, IL

3mo ago Closed

$71k - $96k/yr Full time Backend Developer API ArcGIS Enterprise

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Role based in Lisle, IL with remote-capable arrangements, focused on building scalable GIS applications for utility clients using Esri ArcGIS, Python, and enterprise data systems.

Responsibilities

Build and maintain GIS applications that run on ArcGIS Enterprise and ArcGIS Online.
Develop enterprise workflows through custom services, tools, and APIs across electric, gas, water, and other infrastructure domains.
Design ArcGIS Field Maps configurations and mobile data collection pipelines to support field operations.
Create reusable Python utilities with ArcPy and the ArcGIS API for Python to enable automation, data integration, and system optimization.
Design and optimize ETL pipelines to handle data movement and transformation.
Automate QA and QC workflows to ensure data quality and reliability.
Support data conflation and spatial processing to align complex datasets.
Contribute to enterprise GIS architecture, including RESTful services and APIs.
Integrate GIS solutions with asset management, work management, and analytics platforms.
Collaborate with engineers, project managers, and client stakeholders to translate business needs into scalable, maintainable technical solutions.

Requirements

Bachelor’s degree in GIS, Geography, Computer Science, Engineering, or a related field.
Minimum of 3 years of experience in GIS development or geospatial software development.
Proficiency in Python scripting and geospatial libraries such as ArcPy and ArcGIS API for Python.
Experience with ArcGIS Enterprise, ArcGIS Online, and geodatabase management.
Experience developing or supporting GIS applications, services, or APIs.
Familiarity with data modeling, versioning, and spatial data management.
Understanding of system integration concepts, including APIs and data exchange frameworks.
Working knowledge of ETL processes and automation workflows.

Technologies

Python
ArcPy
ArcGIS API for Python
ArcGIS Enterprise
ArcGIS Online
ArcGIS Field Maps

Benefits

Salary range: USD 70,700–$95,700 per year; exempt position.
Company-sponsored medical, dental, and vision insurance.
401(k) plan with company match.
Tuition reimbursement.
Flexible work schedules.
Generous paid time off.
Voluntary life, disability, critical illness, accident, and hospitalization plans.
HSA or FSA medical accounts and FSA dependent care and transportation/parking accounts.
Possible discretionary bonus eligibility.

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Developer Jobs in Lisle, IL

Senior Data Engineer & Data Scientist – Commercial Intelligence

Machine Learning Engineer

GIS Commercial Software Developer

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