Agentic AI Engineer
$105K - $127K/yr
... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...
Agentic AI Engineer
$105K - $127K/yr
... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...
Agentic AI Engineer
Cincinnati, OH · On-site
$105K - $127K/yr
... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...
Agentic AI Engineer
Cincinnati, OH · On-site
$105K - $127K/yr
... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...
Machine Learning Tutor
Cincinnati, OH · Remote
$40/hr
Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...
Machine Learning Tutor
Cincinnati, OH · Remote
$40/hr
Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...
Artificial Intelligence (AI) Tutor
Cincinnati, OH · Remote
$40/hr
Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs.
Artificial Intelligence (AI) Tutor
Cincinnati, OH · Remote
$40/hr
Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs.
Data Preprocessing information
See Greendale, IN salary details
$41.8K - $58.1K
1% of jobs
$58.1K - $74.4K
2% of jobs
$74.4K - $90.7K
4% of jobs
$90.7K - $107K
9% of jobs
$120.9K is the 25th percentile. Wages below this are outliers.
$107K - $123.3K
11% of jobs
$123.3K - $139.6K
7% of jobs
The median wage is $144.8K / yr.
$139.6K - $155.9K
50% of jobs
$155.9K - $172.2K
2% of jobs
$172.2K - $188.5K
1% of jobs
$188.5K - $204.8K
0% of jobs
$204.8K - $221.2K
13% of jobs
$41.8K
$149.9K
$221.2K
How much do data preprocessing jobs pay per year?
As of Sep 11, 2026, the average yearly pay for data preprocessing in Greendale, IN is $149,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $154,400.00 per year, depending on experience, location, and employer.
What is data preprocessing?
Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.
What are the key skills and qualifications needed to thrive as a data preprocessing specialist, and why are they important?
To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.
What are some common challenges faced in a data preprocessing role, and how can they be effectively managed?
Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.
What is the difference between Data Preprocessing vs Data Analysis?
| Aspect | Data Preprocessing | Data Analysis |
|---|---|---|
| Primary Focus | Cleaning, transforming, and preparing raw data for analysis | Interpreting data to extract insights and support decision-making |
| Skills Required | Data cleaning, scripting, understanding of data formats | Statistical analysis, data visualization, critical thinking |
| Work Environment | Data engineering teams, data science projects | Business intelligence, research, data science teams |
| Tools Used | Python, R, SQL, ETL tools | Excel, Tableau, R, Python, statistical software |
While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.
Agentic AI Engineer
Cincinnati, OH
Tata Consultancy Services
• IT Services • 10K+ employees10,000+ employees
$105K - $127K/yr
Full-time
Re-posted 22 days ago
Tata Consultancy Services rating
6.5
Based on 21 frontline employees who took The Breakroom Quiz
Job description
• Contribute to the design, build, deployment, and optimization of AI/GenAI/Agentic AI solutions for customers as well as internal TCS AI and Data business platforms. • Design, train, and optimize machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into applications and workflows. • Conduct experiments, evaluate model performance, and present findings with clear metrics and visualizations. • Stay updated on emerging AI/ML and Agentic AI research and contribute innovative ideas to improve products and processes.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python programming skills (experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data preprocessing, feature engineering, and model evaluation. • Familiarity with version control (Git) and Jupyter/VS Code workflows.
What Tata Consultancy Services employees say
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About Tata Consultancy Services
Sourced by ZipRecruiter
Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.