As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing ... AI-powered insights. We are seeking a Machine Learning Engineer (MLOps) to support the ...
As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing ... AI-powered insights. We are seeking a Machine Learning Engineer (MLOps) to support the ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Machine Learning / Data Science Engineer
Chicago, IL · On-site
$118K - $141K/yr
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven ... Experience with prompt engineering, MCP and RAG, and agentic AI architectures * Strong ...
Machine Learning / Data Science Engineer
Chicago, IL · On-site
$118K - $141K/yr
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven ... Experience with prompt engineering, MCP and RAG, and agentic AI architectures * Strong ...
Experience with AI, machine learning, and predictive analytics concepts to enhance data product capabilities. * Experience working in agile product development environments. * Experience mentoring ...
Experience with AI, machine learning, and predictive analytics concepts to enhance data product capabilities. * Experience working in agile product development environments. * Experience mentoring ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Director, Data and AI Platform Strategy
Chicago, IL · On-site
$170 - $240/hr
Experience with AI, machine learning, and predictive analytics concepts to enhance data product capabilities. * Experience working in agile product development environments. * Experience mentoring ...
Director, Data and AI Platform Strategy
Chicago, IL · On-site
$170 - $240/hr
Experience with AI, machine learning, and predictive analytics concepts to enhance data product capabilities. * Experience working in agile product development environments. * Experience mentoring ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
AVP, Machine Learning & Modeling
Chicago, IL · On-site
$156K - $290K/yr
... data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.
AVP, Machine Learning & Modeling
Chicago, IL · On-site
$156K - $290K/yr
... data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Data Curation Ai Machine Learning information
What is a data curation AI machine learning specialist?
A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.
What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?
To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.
What are some common challenges faced by data curation professionals working in AI and machine learning projects?
One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.
What is the difference between Data Curation Ai Machine Learning vs Data Analyst?
| Aspect | Data Curation Ai Machine Learning | Data Analyst |
|---|---|---|
| Primary Focus | Preparing and managing data for AI and ML models | Analyzing data to generate business insights |
| Skills Required | Data management, programming, understanding of AI/ML algorithms | Statistical analysis, data visualization, Excel, SQL |
| Tools Used | Python, R, SQL, data cleaning tools | Excel, Tableau, SQL, statistical software |
| Work Environment | Data science teams, AI/ML projects, tech companies | Business departments, analytics teams, consulting firms |
While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.
What are popular job titles related to Data Curation Ai Machine Learning jobs in Illinois?
For Data Curation Ai Machine Learning jobs in Illinois, the most frequently searched job titles are:
- Temporary Machine Learning R
- Freelance Lead Data Engineer
- Internship Eda Software Engineer
- Internship Data Optimization
- Internship Software Engineer Relocation
- From Home Ai Data Rater
- Entry Level Data Visualization Tableau
- Part Time Remote Analytics Engineer
- Research Internship Summer
- Internship Data Analyst Rotational Program
What job categories do people searching Data Curation Ai Machine Learning jobs in Illinois look for?
The top searched job categories for Data Curation Ai Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Data Curation Ai Machine Learning jobs?
Cities in Illinois with the most Data Curation Ai Machine Learning job openings:
Job description
Description
Overview
Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing leaders drive measurable performance through advanced analytics, automation, and AI-powered insights.
We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional machine learning models (e.g., propensity and segmentation models) while also building and maintaining the core data pipelines on Databricks that power our analytics and modeling platforms.
This role is intentionally scoped for a mid-level engineer: someone with enough experience to work independently and make sound engineering decisions, but who is still hands-on, execution-focused, and eager to grow. This is not an entry-level position, and it is not a principal or architect-level role.
Location
Chicago, IL area (Oak Brook / West Suburbs)
Hybrid work model with 1-2 days onsite per week required
Reports To
VP of Data Engineering & Data Science
Responsibilities / Essential Functions
Data Engineering & Platform Foundations
- Design, build, and maintain ETL pipelines in Databricks using Spark and Delta Lake
- Independently implement data transformations, joins, and aggregations across large, multi-source datasets
- Build and maintain data validation and quality checks to ensure reliability of downstream analytics and ML workflows
- Optimize Databricks jobs for performance, scalability, and cost efficiency
- Write and maintain clear technical documentation for data pipelines and tables
ML Engineering & MLOps
- Partner closely with Data Scientists to support traditional ML model development, including feature engineering, training, validation, and deployment
- Productionize propensity, ranking, and segmentation models used in large-scale marketing campaigns
- Build and maintain repeatable ML pipelines for training, batch scoring, and inference
- Implement model versioning, experiment tracking, and reproducibility standards
- Support model performance monitoring, drift detection, and retraining cycles
Deployment, Monitoring & Operations
- Deploy data pipelines and ML workflows into production environments serving millions of records
- Implement monitoring and alerting for data and ML pipelines
- Support A/B testing and model performance evaluation in partnership with Data Science
- Troubleshoot production issues independently and collaborate effectively when escalation is needed
GenAI (Secondary / Directional)
- Contribute to GenAI initiatives as capacity allows
- Stay informed on emerging AI technologies and tooling
- (GenAI is not the primary focus of this role today.)
Required Qualifications
Experience
- 3-6 years of professional experience in machine learning engineering, data engineering, or a closely related role
- Experience working in production environments with minimal day-to-day supervision
- Demonstrated ability to collaborate effectively with Data Scientists and translate models into production systems
Technical Skills (Must-Have)
Data Engineering & Platform
- Apache Spark (PySpark, SparkSQL)
- Databricks (ETL pipelines, workflows, Delta Lake)
- Strong SQL skills (complex queries, joins, window functions, optimization)
- Experience building and maintaining scalable data pipelines
Programming & Machine Learning
- Python (pandas, numpy, scikit-learn; experience with XGBoost or LightGBM preferred)
- Feature engineering and data preparation for ML models
- Working knowledge of supervised learning models (classification, regression, ranking)
MLOps & Production
- Experience deploying ML models into production
- Model versioning and experiment tracking (e.g., MLflow or similar)
- Monitoring data quality and model performance in production
- Supporting retraining and validation workflows
Cloud & Tooling
- Experience with a major cloud platform (Databrick, AWS)
- Familiarity with workflow orchestration tools (Databricks Workflows or similar)
Preferred Qualifications (Nice-to-Have)
- Experience with propensity modeling, customer segmentation, or marketing analytics
- Exposure to CI/CD concepts for data and ML pipelines
- Experience with Docker or containerized deployments
- Exposure to GenAI, LLMs, or RAG-based systems
- Master's degree in Computer Science, Statistics, or a related field
- Seniority Level
Associate - Industry
- Marketing Services
- Employment Type
Full-time - Job Functions
About Darwill
Sourced by ZipRecruiter
Industry
Marketing
Company size
201 - 500 Employees
Headquarters location
Hillside, IL, US
Year founded
1951