Data Preprocessing Jobs in California (NOW HIRING)

... 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 preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Experience, developed real-time data processing system using Scala, Kafka and Apache Spark. Implemented Spark jobs using Scala for data preprocessing, validation, normalization and transmission.

Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models. * Optimize ...

Data Preprocessing & Feature Engineering - 3+ years. * Model Evaluation Techniques - 3+ years. * Version Control (Git) - 2+ years. * ML Lifecycle / Model Management - 2+ years. Responsibilities:

Perform data preprocessing and feature engineering. * Optimize model performance and scalability. * Deploy ML models using cloud platforms. * Collaborate with data scientists and software engineers.

Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, NumPy, Spark). * Demonstrated experience building or working with ranking models (learning-to-rank ...

Conduct data preprocessing, feature engineering, model evaluation, and performance tuning.Build robust, modular, and Minimum years of experience*: 8-10 years

Expertise in data preprocessing, feature engineering, and advanced model evaluation techniques (e.g., A/B testing, causal inference). Preferred: * Master's or PhD in a Science or Engineering field.

Experiencewith data preprocessing, feature engineering, and model evaluationtechniques. * Knowledgeof deep learning architectures (CNNs, RNNs, Transformers) and theirapplications. * Proficiencyin ...

Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models. * Optimize ...

Build data preprocessing and feature engineering pipelines. * Optimize model performance and accuracy. * Deploy ML models into production environments. * Collaborate with Data Scientists and Software ...

... manage data preprocessing, training runs, evaluation sweeps, and result synthesis • Go deep: push the frontier of domain-specific AI -- conduct rigorous, first-principles research into model ...

This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply ...

It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.

Perform data preprocessing, integration, cleansing, descriptive analysis and visualization; * Perform exploratory data analysis, ad-hoc analysis, and root cause analysis; identify data issues and ...

Perform data preprocessing, integration, cleansing, descriptive analysis and visualization; * Perform exploratory data analysis, ad-hoc analysis, and root cause analysis; identify data issues and ...

Build end to end AI pipelines including data preprocessing, feature engineering, training, and monitoring. * Design and optimize prompting strategies, RAG pipelines, or agent based workflows for LLM ...

PyTorch, Tensorflow Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing Proven understanding of data preprocessing, feature extraction, and ...

PyTorch, Tensorflow Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing Proven understanding of data preprocessing, feature extraction, and ...