AI Engineet
San Jose, CA · On-site
$134K - $161K/yr
The role involves researching and prototyping advanced RAG techniques, implementing Agentic AI patterns, and collaborating on data preprocessing pipelines. Responsibilities : • Research and ...
AI Engineet
San Jose, CA · On-site
$134K - $161K/yr
The role involves researching and prototyping advanced RAG techniques, implementing Agentic AI patterns, and collaborating on data preprocessing pipelines. Responsibilities : • Research and ...
Agentic AI Engineer
Santa Clara, CA · On-site
$135K - $162K/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
Santa Clara, CA · On-site
$135K - $162K/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 ...
Data Scientist
Irvine, CA · On-site
$101K/yr
Feature Eng, Data Preprocessing, & Data Validation; Design dashboards; Production ML Deployment & Model Endpoint Deployment & Mgmt. Tech: GCP, AWS (S3, SageMaker, Lambda), Azure, Dist & RT Data ...
New
Data Scientist
Irvine, CA · On-site
$101K/yr
Feature Eng, Data Preprocessing, & Data Validation; Design dashboards; Production ML Deployment & Model Endpoint Deployment & Mgmt. Tech: GCP, AWS (S3, SageMaker, Lambda), Azure, Dist & RT Data ...
New
Agentic AI Engineer
$135K - $162K/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
$135K - $162K/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 ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Data Scientist
Fremont, CA · On-site
... data preprocessing to enhance model performance. • Evaluate the performance of machine learning models using appropriate metrics and fine-tune them for optimal results. • Communicate complex ...
Data Scientist
Fremont, CA · On-site
... data preprocessing to enhance model performance. • Evaluate the performance of machine learning models using appropriate metrics and fine-tune them for optimal results. • Communicate complex ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Software Engineer, AI Training and Infrastructure
San Mateo, CA · On-site
$197K - $233K/yr
Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models. * Optimize ...
Software Engineer, AI Training and Infrastructure
San Mateo, CA · On-site
$197K - $233K/yr
Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models. * Optimize ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
AI/ML Engineer
Aliso Viejo, CA · On-site
$52 - $57/hr
Data Preprocessing & Feature Engineering - 3+ years. * Model Evaluation Techniques - 3+ years. * Version Control (Git) - 2+ years. * ML Lifecycle / Model Management - 2+ years. Responsibilities:
Quick apply
AI/ML Engineer
Aliso Viejo, CA · On-site
$52 - $57/hr
Data Preprocessing & Feature Engineering - 3+ years. * Model Evaluation Techniques - 3+ years. * Version Control (Git) - 2+ years. * ML Lifecycle / Model Management - 2+ years. Responsibilities:
Gen AI Developer
Long Beach, CA · On-site
$120K - $150K/yr
Experience with data preprocessing and model fine-tuning. • Familiarity with evaluation metrics for RAG systems. • Knowledge of transformer architectures and training techniques. • Awareness of ...
Gen AI Developer
Long Beach, CA · On-site
$120K - $150K/yr
Experience with data preprocessing and model fine-tuning. • Familiarity with evaluation metrics for RAG systems. • Knowledge of transformer architectures and training techniques. • Awareness of ...
ML Engineer
Aliso Viejo, CA · On-site
$47 - $52/hr
Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, NumPy, Spark). * Demonstrated experience building or working with ranking models (learning-to-rank ...
Quick apply
ML Engineer
Aliso Viejo, CA · On-site
$47 - $52/hr
Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, NumPy, Spark). * Demonstrated experience building or working with ranking models (learning-to-rank ...
Data science engineer
Fremont, CA · On-site
$125K - $151K/yr
Responsibilities : • Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources. • Utilize Python and Spark for data preprocessing ...
Data science engineer
Fremont, CA · On-site
$125K - $151K/yr
Responsibilities : • Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources. • Utilize Python and Spark for data preprocessing ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions - from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions -- from data preprocessing, feature engineering, experimentation, and validation through to deployment ...
Data Preprocessing information
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.
What are popular job titles related to Data Preprocessing jobs in California?
For Data Preprocessing jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Preprocessing jobs in California look for?
The top searched job categories for Data Preprocessing jobs in California are:
What cities in California are hiring for Data Preprocessing jobs?
Cities in California with the most Data Preprocessing job openings:
AI Engineet
San Jose, CA • On-site
Spark Tek Inc
$134K - $161K/yr
Full-time
Re-posted 13 days ago
Job description
Job Summary:
Spark Tek Inc is seeking an AI Engineer to work on advanced AI techniques and optimize AI workflows. The role involves researching and prototyping advanced RAG techniques, implementing Agentic AI patterns, and collaborating on data preprocessing pipelines.
Responsibilities:
• Research and prototype Advanced RAG techniques (e.g., chunking strategies, retrieval optimization, knowledge graph integration).
• Explore and implement Agentic AI patterns (e.g., supervisor vs plan-execute workflows).
• Investigate and develop methods for reducing memory footprint and improving LLM response quality.
• Design and experiment with LLM fine-tuning strategies for domain-specific applications.
• Collaborate on data preprocessing pipelines, including SQL-based processing and advanced text preprocessing techniques.
• Leverage LangChain ecosystem tools: LangChain, LangGraph, LangSmith for building and evaluating AI workflows.
• Experiment with LLMs such as GPT-4+, Gemini, LLaMA, and others for various use cases.
• Apply design patterns in AI and backend development for scalability and maintainability.
• Contribute to ML Ops and LLM Ops best practices to streamline research-to-production pipelines.
Qualifications:
Required:
• Deep expertise in Python, asynchronous programming, and software design patterns.
• Strong SQL skills, data preprocessing, and transformation techniques.
• Hands-on experience with LangChain, LangGraph, and LangSmith.
• Familiarity with leading models like GPT-4+, Gemini, LLaMA.
• Agentic AI patterns.
• Advanced RAG methods.
• LLM fine-tuning approaches.
• ML Ops & LLM Ops workflows.
Preferred:
• AWS or GCP experience.
• CI/CD and containerized environment familiarity.
Company:
Spark Tek Inc offers IT solutions and consultancy services, specializing in IT services and consulting for various industries. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Spark Tek Inc is seeking an AI Engineer to work on advanced AI techniques and optimize AI workflows. The role involves researching and prototyping advanced RAG techniques, implementing Agentic AI patterns, and collaborating on data preprocessing pipelines.
Responsibilities:
• Research and prototype Advanced RAG techniques (e.g., chunking strategies, retrieval optimization, knowledge graph integration).
• Explore and implement Agentic AI patterns (e.g., supervisor vs plan-execute workflows).
• Investigate and develop methods for reducing memory footprint and improving LLM response quality.
• Design and experiment with LLM fine-tuning strategies for domain-specific applications.
• Collaborate on data preprocessing pipelines, including SQL-based processing and advanced text preprocessing techniques.
• Leverage LangChain ecosystem tools: LangChain, LangGraph, LangSmith for building and evaluating AI workflows.
• Experiment with LLMs such as GPT-4+, Gemini, LLaMA, and others for various use cases.
• Apply design patterns in AI and backend development for scalability and maintainability.
• Contribute to ML Ops and LLM Ops best practices to streamline research-to-production pipelines.
Qualifications:
Required:
• Deep expertise in Python, asynchronous programming, and software design patterns.
• Strong SQL skills, data preprocessing, and transformation techniques.
• Hands-on experience with LangChain, LangGraph, and LangSmith.
• Familiarity with leading models like GPT-4+, Gemini, LLaMA.
• Agentic AI patterns.
• Advanced RAG methods.
• LLM fine-tuning approaches.
• ML Ops & LLM Ops workflows.
Preferred:
• AWS or GCP experience.
• CI/CD and containerized environment familiarity.
Company:
Spark Tek Inc offers IT solutions and consultancy services, specializing in IT services and consulting for various industries. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.