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Ml Data Associate Jobs in Ohio (NOW HIRING)

Deloitte

Forward Deployed Engineer- AWS

Columbus, OH · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Forward Deployed Engineer- AWS

Cleveland, OH · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Cincinnati, OH · On-site

$98K - $129K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Forward Deployed Engineer- AWS

Cincinnati, OH · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Columbus, OH · On-site

$100K - $138K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Columbus, OH

$99K - $130K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Cleveland, OH · On-site

$101K - $139K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Cincinnati, OH · On-site

$100K - $137K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Cleveland, OH · On-site

$99K - $130K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Ohio

Ml Data Associate information

See Ohio salary details

$54.7K

$64.7K

$122.6K

How much do ml data associate jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ml data associate in Ohio is $64,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Ohio?

For Ml Data Associate jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Ohio look for?

The top searched job categories for Ml Data Associate jobs in Ohio are:

What cities in Ohio are hiring for Ml Data Associate jobs?

Cities in Ohio with the most Ml Data Associate job openings:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $64,684 per year, or $31.1 per hour.

Urgent Requirement -Data Architect- AWS -Mode of Work: - Hybrid (Cleveland - Ohio)

Ekcel Technologies Inc

Cleveland, OH • On-site

$61.75 - $79.50/hr

Contractor

Re-posted 15 days ago

Job description

  • Role: Data Architect- AWS
  • Mode of Work: - Hybrid (Cleveland – Ohio)

Role: Design, build, and optimize scalable, secure data solutions on AWS.

Key Responsibilities:

  • Design & Develop a scalable data platform to support Reporting & Analytics leveraging AWS Data Platform
  • Architect data lakes (S3, Lake Formation), warehouses (Redshift), and pipelines (Python, Glue, Kinesis).
  • Design Data architecture (Medallion etc.)
  • Design & Develop reusable frameworks
  • Implement ETL/ELT workflows using AWS services (Lambda, EMR, Athena).
  • Ensure data quality, security (IAM, KMS), monitoring (CloudWatch) and cost optimization
  • Implement data governance practices and compliance frameworks
  • Optimize performance (partitioning, indexing) and enable analytics (QuickSight, Redshift ML).

Requirements:

  • Minimum 15 Years of experience in IT with 5+ years in data architecture, with 3+ years focused on AWS Data Platform.
  • Hands-on experience with: 
    • AWS Analytics (Python, Glue, Redshift, Athena, EMR)
    • Data Modeling (star/snowflake schemas, Lakehouse)
    • Big Data (Spark, Delta Lake, Parquet/ORC)
  • Certifications preferred (AWS Certified Solutions Architect – Associate, AWS Certified Data Engineer – Associate).
  • Strong Python/SQL and infrastructure-as-code (Terraform/CDK).