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Associate Artificial Intelligence Machine Learning Jobs in Michigan

Director, Data Strategy

Southfield, MI ยท On-site

$180 - $260/hr

Artificial Intelligence & Advanced Analytics Enablement * Establish the data foundation and governance necessary to responsibly support artificial intelligence, machine learning, predictive analytics ...

Director, Data Strategy

Southfield, MI ยท On-site

$160 - $240/hr

Artificial Intelligence & Advanced Analytics Enablement * Establish the data foundation and governance necessary to responsibly support artificial intelligence, machine learning, predictive analytics ...

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI ยท On-site

$59K - $60K/yr

As an Associate at IBM, you'll work with clients to help solve real-world business challenges ... Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data ...

Artificial Intelligence & Advanced Analytics Enablement * Establish the data foundation and governance necessary to responsibly support artificial intelligence, machine learning, predictive analytics ...

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Associate Artificial Intelligence Machine Learning information

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Michigan?

The most popular types of Artificial Intelligence Machine Learning jobs in Michigan are:

What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Michigan?

For Associate Artificial Intelligence Machine Learning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Michigan look for?

The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Michigan are:

Infographic showing various Associate Artificial Intelligence Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Data Science and Machine Learning Associate//Dearborn, MI//W2 Only

Dearborn, MI โ€ข On-site

Saanvi Technologies
51 - 200 employees

Contractor

Re-posted yesterday


Job description

Data Science and Machine Learning Senior Associate

Dearborn, MI 4days onsite

W2

Position Description:

Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Skills Required:

Data Model, Machine Learning, Data Science

Skills Preferred:

GCP, Data Analysis, Python, Artificial Intelligence & Expert Systems

Experience Required:

Senior Associate Exp: 5+ years experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis o Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization.

Education Required:

Master's Degree, Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

4 days on site


Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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