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Data Curation Ai Machine Learning Jobs in Michigan

SynergisticIT

AI and Machine Learning Engineer

Detroit, MI · On-site

$104.80K - $125.80K/yr

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning ... Design Client and Deep AI Models for different types of data (time-series, sales, business data ...

Apex Systems

Machine Learning-Gen Ai

Warren, MI · On-site +1

$107.30K - $128.80K/yr

Job#: 3029488 Machine Learning-Gen Ai/Data Statistics Location: Warren, MI Role Overview An automotive manufacturing client is seeking a Machine Learning Engineer with a foundation in data, deep ...

IntraEdge

AI Data Engineer

Detroit, MI

$113.40K - $136.10K/yr

The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI ...

Stefanini

Machine Learning Engineer

Dearborn, MI

... data management, and accuracy Adapt machine learning and Gen AI capabilities to domains such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Data Wrangling. * Implementation and Training of Appropriate Models from Literature ... Publications in AI/ML journals or conferences. Equal Employment Opportunity (EEO) Policy Eccalon ...

JConnect Infotech

Machine learning Engineer

Warren, MI · On-site

Work with large-scale sensor data from connected devices to build predictive models, anomaly ... The ideal candidate should have a strong background in signal processing, deep learning, edge AI ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105.20K - $126.30K/yr

... performance, quality, data management, and accuracy * Adapt machine learning and Gen AI ... capabilities to domains such as virtual reality, augmented reality, object detection, tracking ...

X by 2

Technical Lead (Applied AI)

Detroit, MI · On-site

AI / Machine Learning Development * Design, develop, and train machine learning and deep learning models for healthcare and insurance use cases * Perform data modeling and feature engineering to ...

Eccalon LLC

AI Expert- Software

Detroit, MI

... 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 ...

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Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a Data Curation AI Machine Learning Specialist, and why are they important?

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 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 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:
Data Curation Ai Machine Learning jobs near you
AI and Machine Learning Engineer

AI and Machine Learning Engineer

SynergisticIT

Detroit, MI • On-site

$104.80K - $125.80K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning And Artificial Intelligence Developer

You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design to coding, testing, and maintenance.

You will also play a leading role, as part of a multidisciplinary team, to design and deliver enterprise AI and Client solutions to clients using our proprietary AI Machine.

We develop real-time prediction (regression and classification) and clustering systems. Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 minute and millisecond streaming data.

Primary Responsibilities

As an AI team member you are expected to fulfill the following range of responsibilities, depending on the project:

  • Develop, debug and maintain Client and AI software applications written in Python ecosystem, SciKit-Learn, TensorFlow, Keras, PyTorch.
  • Design Client and Deep AI Models for different types of data (time-series, sales, business data, images, etc.) and different output types (Classification, Regression, Clustering).
  • Create stream learning models for forecasting, prediction, classification, anomaly detection, etc.
  • Investigate the behaviour of input and output data numerically.
  • Investigate and optimize models performance.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Work within a multidisciplinary team to understand clients business, data, and requirements and develop the appropriate AI or Client solution within our proprietary AI Machine.

Required Candidate Profile

Skills Required:

  • High fluency in English is a must since you will communicate and work with team members and clients in English.
  • Deep understanding of Client algorithms like regression, classification and clustering.
  • Deep understanding of model determination and evaluation.
  • Strong problem-solving mindset and ability to develop creative solutions for difficult problems often requiring detailed investigation of the code and data.
  • Interest in learning and coding within an advanced distributed micro-system architecture.

Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits of working with our clients:

  • E-Verified.
  • Long Term Positions
  • On Job Technical Support.

    • Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

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