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Junior Ai Machine Learning Python Jobs in Decatur, MI

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain statistical modeling techniques, machine learning basics, and business ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Python, and project-based learning to support learners from elementary students through adults ...

We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the ...

We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the ...

We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... MATLAB and Python, real-world case studies, and project-based learning to support advanced ...

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... advanced technology, AI, and the latest in learning science to create personalized learning ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... advanced technology, AI, and the latest in learning science to create personalized learning ...

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Junior Ai Machine Learning Python information

See Decatur, MI salary details

$42.9K

$87.2K

$131K

How much do junior ai machine learning python jobs pay per year?

As of Jun 4, 2026, the average yearly pay for junior ai machine learning python in Decatur, MI is $87,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $88,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Junior Ai Machine Learning Python jobs in Decatur, MI look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Decatur, MI are:
What cities near Decatur, MI are hiring for Junior Ai Machine Learning Python jobs? Cities near Decatur, MI with the most Junior Ai Machine Learning Python job openings:

Supply Chain Data Science Manager

Whirlpool

Benton Harbor, MI • On-site

Full-time

PTO

Posted 12 days ago


Whirlpool rating

7.5

Company rating: 7.5 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

74th of 139 rated electronics manufacturers


Job description

Requisition ID: 68538
About Whirlpool Corporation
Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As theonly major U.S.-based manufacturer of kitchen and laundry appliances, the company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2024, the company reported approximately $17 billion in annual sales - close to 90% of which were in the Americas - 44,000 employees, and 40 manufacturing and technology research centers. Additional information about the company can be found at WhirlpoolCorp.com.
The team you will be a part of
The Data Science team is responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating result.
This role in summary
Whirlpool is seeking a qualified candidate to fill a Data Science Manager position within the Supply Chain Analytics team. This role will be located at our Riverview Campus, in Benton Harbor, MI.
We are looking for a hands-on leader to drive our supply chain advanced analytics strategy and implementation. You will lead a small team to transform complex data into actionable insights, moving our supply chain from descriptive reporting to predictive modeling and optimization. You will champion the development of high-value predictive models for production planning, inventory management, demand planning, order management, warehousing, and logistics.
Your responsibilities will include
Strategy and People Leadership
  • Define the Roadmap: Define and execute the advanced analytics strategy, shifting the organization toward predictive and prescriptive solutions (e.g., safety stock optimization, forecasting, network design).
  • Team Development: Lead, mentor, and grow a team of Data Analysts, fostering a culture of technical excellence that drives tangible business impact.
  • Project Delivery: Manage the intake, prioritization, and execution of data science initiatives. Ensure resources are aligned with high-ROI projects and drive them from conception to deployment.

Technical Execution and Innovation
  • End-to-End Predictive Modeling: Develop and automate full-cycle predictive modeling workflows using Python, Alteryx, and GCP-extracting data from sources (SAP HANA, GCP) to solve supply chain challenges and integrating results into execution systems (SAP, Anaplan), data warehouses and BI dashboards (Tableau, Looker).
  • GenAI & Innovation: Lead the exploration of Large Language Models (LLMs) and Machine Learning (via Vertex AI) to automate business processes and generate novel insights.
  • Data Products & Visualization: Oversee the creation of automated reporting pipelines and intuitive dashboards (Tableau, Looker) that empower end-users to make data-driven decisions based on modeling outputs.

Minimum requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
  • 5+ years of total experience in data analytics, data science, or data engineering.
  • 2+ years of experience leading people or managing complex technical projects.
  • Strong proficiency in SQL for complex data extraction and manipulation.
  • Strong proficiency in Python for statistical modeling and machine learning.

Preferred skills and experiences
  • Advanced Education: Master's degree in Engineering, Data Analytics, Statistics, or Computer Science.
  • Cloud & ERP Experience: Proficiency with GCP (BigQuery, Vertex AI) and SAP HANA.
  • Domain Expertise: 3+ years of experience in Supply Chain Operations (Production Planning, Inventory Optimization, Demand Planning, or Logistics).
  • Modern Data Stack: Proficiency with Alteryx and SAP HANA Studio for ETL, and experience utilizing LLMs (e.g., Gemini) for business automation.
  • Communication: Demonstrated ability to bridge the gap between technical data science and non-technical business stakeholders.
  • Soft Skills: Strong analytical, problem-solving, and communication skills across all levels of the organization.

Additional information
Whirlpool's Ways of Working
Our goal is to provide an environment that helps you bring your best to Whirlpool every day. While employees in this role work in-person Monday through Friday. We offer flexibility and industry-leading time-off benefits that will help you balance what's important at work and at home, including:
  • Always On Flexibility - You will have the autonomy to manage personal, family, and outside-of-work commitments as needed.
  • Two-Week Work from Anywhere - Minimum of one-week increments for a total of two weeks per year.
  • Sabbatical - Four weeks paid leave after every five years of service.

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Connect with us and learn more about Whirlpool Corporation
See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube.
Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.

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