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Data Curation Ai Machine Learning Jobs in Michigan

... machine learning models, LLMs, and AI services into backend and full-stack systems * Develop, test, and deploy AI solutions using modern software engineering best practices * Build and maintain data ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move ... machine learning pipelines, including data ingestion, preprocessing, training, validation ...

... AI), machine learning (ML), and optimization techniques. As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and ...

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 41-60

Data Curation Ai Machine Learning information

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 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 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?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness 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 Michigan?

For Data Curation Ai Machine Learning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Michigan look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Michigan are:

What cities in Michigan are hiring for Data Curation Ai Machine Learning jobs?

Cities in Michigan with the most Data Curation Ai Machine Learning job openings:

AI Expert- Software

Eccalon LLC

Detroit, MI • On-site

Full-time

Re-posted 24 days ago


Job description

AI Expert – Software

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The AI Expert – Software Engineering is responsible for designing, developing, and integrating artificial intelligence capabilities into production-grade software systems. This role blends deep AI/ML expertise with strong software engineering practices to build scalable, secure, and maintainable AI-enabled applications across enterprise and mission-critical environments.

Responsibilities

  • Design and develop AI-enabled software applications and platforms
  • Integrate machine learning models, LLMs, and AI services into backend and full-stack systems
  • Develop, test, and deploy AI solutions using modern software engineering best practices
  • Build and maintain data pipelines, APIs, and AI-driven services
  • Collaborate with software engineers, data scientists, DevOps, and product teams
  • Ensure AI solutions are scalable, secure, explainable, and production-ready
  • Perform model evaluation, performance tuning, and continuous improvement
  • Support cloud-based deployment and monitoring of AI systems
  • Document system architecture, models, and development processes

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • 5+ years of professional software development experience.
  • Strong programming skills in Python and at least one additional language (Java, C++, or JavaScript).
  • Hands-on experience integrating AI/ML models into software applications.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building APIs, microservices, or backend systems.
  • Strong understanding of software architecture, version control, and CI/CD practices.

Preferred Qualifications

  • Master’s degree or PhD in AI, Machine Learning, or a related discipline.
  • Experience working with large language models (LLMs) and generative AI tools.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and AI deployment pipelines.
  • Experience with MLOps, model monitoring, and lifecycle management.
  • Background supporting government, defense, or regulated environments.
  • Ability to obtain and maintain a security clearance if required by contract.

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017