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Contract Machine Learning Startup Jobs in Wisconsin

Senior Data Engineer

Menomonee Falls, WI

$106.40K - $144.60K/yr

... machine learning (AI/ML) feature pipelines. You will drive design decisions that improve data ... Define and maintain data contracts, including service level agreements (SLAs), schema expectations ...

The environment encourages continuous learning, collaboration, and recognition for your ... Job Type & Location This is a Contract to Hire position based out of Muskego, WI. Pay and Benefits ...

... checks, and startup support. * Generate, investigate, and resolve deviations; support change ... learning and career advancement. Kymanox encourages team members, especially new graduates, and ...

Our team of data scientists, machine learning engineers, revenue cycle professionals, and certified ... Manage and process end-to-end payroll for all employees (salaried, hourly, and contract) on a semi ...

Lead Scientist - Material and Process

Neenah, WI · On-site

$104.50K - $135.90K/yr

... Startup, scaleup, and optimization support * Provide technical guidance for operators on trial execution. * Use data analytics, statistics, and machine learning tools (preferred) to analyze products ...

Lead Scientist - Material and Process

Neenah, WI · On-site

$104.50K - $135.90K/yr

... Startup, scaleup, and optimization support * Provide technical guidance for operators on trial execution. * Use data analytics, statistics, and machine learning tools (preferred) to analyze products ...

Lead Scientist - Material and Process

Neenah, WI · On-site

$104.50K - $135.90K/yr

... Startup, scaleup, and optimization support * Provide technical guidance for operators on trial execution. * Use data analytics, statistics, and machine learning tools (preferred) to analyze products ...

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

Define and steward enterprise data architecture standards including data models, data contracts ... Experience supporting analytics, machine learning, or AI workloads that depend on well-modeled ...

Production Manager

Somerset, WI · On-site

$95K - $110K/yr

... of the largest contract manufacturing service (CMS) providers in North America. Key ... This includes rejected products, output below target, and machine downtime. Work with team, other ...

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Contract Machine Learning Startup information

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the most commonly searched types of Machine Learning Startup jobs in Wisconsin? The most popular types of Machine Learning Startup jobs in Wisconsin are:
What are popular job titles related to Contract Machine Learning Startup jobs in Wisconsin? For Contract Machine Learning Startup jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in Wisconsin look for? The top searched job categories for Contract Machine Learning Startup jobs in Wisconsin are:
What cities in Wisconsin are hiring for Contract Machine Learning Startup jobs? Cities in Wisconsin with the most Contract Machine Learning Startup job openings:
Senior Data Engineer

Senior Data Engineer

KOHLS

Menomonee Falls, WI

$106.40K - $144.60K/yr

Other

Posted 4 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th of 21 rated department stores


Job description

About the Role

As Senior Data Engineer, you will lead the development and ownership of domain data products, including batch, streaming and artificial intelligence/machine learning (AI/ML) feature pipelines. You will drive design decisions that improve data reliability, performance and governance maturity while standardizing patterns that scale across teams. You will partner cross-functionally to enable analytics, ML and GenAI use cases with trusted data.

What You’ll Do

  • Design, build and maintain batch, streaming and real-time Artificial Intelligence (AI)  feature pipelines to extract data from diverse source systems and producers (Application Programming Interfaces (APIs), events, databases, files) ensuring efficient ingestion, transformation and publishing

  • Design, refine and implement scalable data models, semantic layers and data contracts to promote consistency, reuse and accessibility

  • Owns the end-to-end data product lifecycle for the domain. Define and maintain data contracts, including service level agreements (SLAs), schema expectations, quality metrics and consumer ownership, to ensure a reliable and trustworthy experience

  • Partner with cross functional teams to co-design scalable data solutions that meet business needs and clearly define the boundaries between data pipeline responsibilities and model-building activities

  • Develop automated workflows and Continuous Integration / Continuous Deployment (CI/CD) pipelines using tools such as Airflow, Apache Spark and Python to drive reliability and faster delivery

  • Implement validation, observability and evaluation frameworks that ensure accuracy, lineage and timeliness across data pipelines and large language model (LLM) outputs

  • Apply and enforce governance, privacy and compliance standards (GDPR, PCI DSS, CCPA), ensuring data security and traceability

  • Partner with cross functional teams to translate business needs into technical data solutions that scale across domains

  • Drive performance tuning, automation and adoption of AI-powered data tools to enhance data platform efficiency

  • Mentor data engineers and champion best practices for maintainable, governed and reusable data assets

  • Own cost and performance tradeoffs for domain data products and monitor compute usage, storage growth and unit cost to implement optimizations that reduce spend while meeting SLAs

  • Additional tasks may be assigned

What Skills You Have

Required

  • 4+ years designing, building and optimizing data pipelines and models in production, ideally within large-scale cloud environments

  • Proficiency in SQL and Python (or Scala) for data development, testing and automation

Preferred

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or a related field

  • Experience with Apache Spark (or equivalent) for large-scale data processing and performance optimization

  • Experience using Airflow/Cloud Composer/Dagster for orchestration, transformation and CI/CD pipelines

  • Experience with cloud warehouses/lakes (BigQuery, Redshift, Snowflake) and object storage

  • Experience designing and optimizing streaming pipelines using Kafka, Pub/Sub, spark

  • Strong understanding of dimensional modeling, normalization and schema design for analytics and GenAI integration into data products

  • Experience with data testing, lineage, monitoring and observability frameworks to ensure data integrity and reliability


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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