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Data Curation Ai Machine Learning Jobs in Indianapolis, IN

Data Architect

Fishers, IN

$59.75 - $76.75/hr

Support AI/Machine Learning initiatives and collaborate with data science teams. * Translate business needs into technical solutions and lead architectural reviews. * Mentor team members and drive ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

Data Architect

Fishers, IN

$57.50 - $73.75/hr

Support AI/Machine Learning initiatives and collaborate with data science teams. Translate business needs into technical solutions and lead architectural reviews. Mentor team members and drive ...

... 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 ...

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Data Curation Ai Machine Learning information

See Indianapolis, IN salary details

$42.5K

$124K

$169.7K

How much do data curation ai machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for data curation ai machine learning in Indianapolis, IN is $123,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

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 Indianapolis, IN? For Data Curation Ai Machine Learning jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Data Curation Ai Machine Learning jobs in Indianapolis, IN look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Data Curation Ai Machine Learning jobs? Cities near Indianapolis, IN with the most Data Curation Ai Machine Learning job openings:

AI/Machine Learning Engineer

CleanSlate Technology Group

Carmel, IN โ€ข On-site

$96.70K - $132.40K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Type
Full-time
Description
CleanSlate Technology Group is a leading multi-cloud technology consulting firm specializing in building modern solutions around SaaS products, IoT, and Data and Analytics that move businesses forward. From custom cloud-native development to driving modern data platforms, we develop and deploy solutions that deliver greater agility, faster speed to innovation and more resiliency to handle what the future brings. CSTG looks to inspire innovation with our clients to help them compete in the new digital landscape.
CleanSlate is adding an experienced AI/Machine Learning Engineer to its established Cloud Data and Analytics team. The ideal team member for CSTG is a person who can deliver advanced AI solutions in a modern way while leveraging cloud-native experimentation, training, and testing and has a passion for solving real-world business problems through innovative use of ML, AI, and Generative AI. The primary focus of an ML/AI Engineer is to help our clients build reliable, performant, and scalable solutions to help drive our customers' businesses forward.
Job Summary

  • Hands-on development and data engineering
  • Participate in development and team meetings lead by project manager or scrum master
  • Work in a blended environment with client and other CSTG team members
  • Achieve required certifications
  • Leads the delivery of technical implementations for a specific technical domain
  • Has depth of technical knowledge
  • Researches and evaluates a variety of mainstream and emerging technologies
  • Captures functional and non-functional requirements for a specific task
  • Builds and communicates designs in a manner for others to follow
  • Ensures technical soundness and quality for a solution
  • In conjunction with Delivery Manager, participates in technical planning and project estimation
  • Collaborates and communicates well with technical team members
  • Lead code review sessions to ensure code quality, performance, and maintainability
  • Demonstrated ability to coach and mentor individuals
  • Strong ability to embrace ambiguity
  • Always a team player. Able to resolve conflict and treat others with respect
Requirements
  • 2+ years machine learning experience building complex Data/AI solutions
  • 2+ years implementation experience using Python and related ML libraries (SciKit-Learn, Pandas, PyTorch, Keras, Tensor Flow or any combination thereof)
  • Ability to apply correct ML Model to the problem (e.g. Linear / Nonlinear Regression, Random Forest, Neural Networks [RNN vs CNN, Transformer and the like], supervised vs. unsupervised learning, etc.)
  • Some experience or a working knowledge of Generative AI LLMs, pretraining, fine-tuning, transfer learning, instruction fine-tuning, etc.
Preferred Qualifications
  • Previous consulting experience
  • Masters Degree in Data Science, Machine Learning, Mathematics or related education
  • AWS or Azure ML experience and/or certification
  • Experience building high volume ML pipelines with Databricks, Spark, or similar using PySpark or Scala (SparkML experience a plus)
  • Ability to communicate complex ideas and designs to client teams
  • Ability to consult with and provide leadership to client data science teams
  • Ability to work with Data Engineers to implement real-world prediction services or ML/AI as a service
  • Experience with Sagemaker and / or Azure ML (AWS Bedrock a plus)
  • AWS Machine Learning Certification
  • Azure AI Engineer Associate Certification
  • Working knowledge or experience working with Data Lakes / Lake Warehouses as the source for ML / AI experimentation, training, and testing
  • Experience productionizing AI models
  • Working knowledge of MLOps and the ability to consult on implementation concepts
  • Working knowledge of Feature Stores and how they bridge experimentation and productionizing boundaries

Location
*Must be located in either the Greater Indianapolis Area OR the Greater St. Louis Area