Redolent, Inc
Data Scientist | Hybrid & Onsite Interview | W2 Only No C2C
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Sunnyvale, CA (Hybrid/Onsite) with a W2 contract. Key skills include Python, GCP, LLMs, PySpark, and Airflow. Experience in machine learning, data pipelines, and Generative AI is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Data Processing #ML (Machine Learning) #AI (Artificial Intelligence) #Model Deployment #Deployment #Libraries #Apache Airflow #GCP (Google Cloud Platform) #Python #Cloud #BigQuery #NLP (Natural Language Processing) #Spark (Apache Spark) #Apache Spark #SQL (Structured Query Language) #Data Pipeline #Scala #Data Science #Data Analysis #Airflow #PySpark #Datasets
Role description
We are currently looking for an experienced Data Scientist with strong expertise in Machine Learning, LLMs, GCP, Python, PySpark, and Airflow for a hybrid/onsite opportunity in Sunnyvale, CA. This role requires hands-on experience building data science solutions, developing scalable data pipelines, and working with Generative AI/LLM-based applications.
Job Title: Data Scientist
Location: Sunnyvale, CA (Hybrid/Onsite)
Employment Type: W2 Only (No C2C)
Required Skills:
• Strong experience with Python development and data science libraries.
• Hands-on experience with Large Language Models (LLMs), Generative AI, and AI/ML solutions.
• Strong knowledge of Google Cloud Platform (GCP) services including BigQuery, Vertex AI, and cloud-based ML workflows.
• Experience working with PySpark, Apache Spark, and large-scale data processing.
• Strong experience developing and managing data pipelines using Apache Airflow.
• Experience with machine learning models, NLP, data analytics, and model deployment.
• Strong SQL skills and experience working with large datasets.
• Experience with ML pipelines, data processing, and production-level AI applications.
Responsibilities:
• Design, develop, and deploy machine learning and AI solutions using Python and cloud technologies.
• Build and optimize LLM-based applications, including Generative AI and RAG workflows.
• Develop scalable data processing pipelines using PySpark and Apache Spark.
• Create and maintain workflow orchestration pipelines using Airflow.
• Work with GCP services to build, deploy, and support machine learning solutions.
• Perform data analysis, feature engineering, model development, and performance evaluation.
• Collaborate with engineering and product teams to deliver production-ready AI solutions.
• Troubleshoot data, model, and pipeline issues while improving system performance and reliability.
Interview Process: Hybrid/Onsite Interview Required
Location: Sunnyvale, CA
Employment: W2 Only – No C2C Candidates
We are currently looking for an experienced Data Scientist with strong expertise in Machine Learning, LLMs, GCP, Python, PySpark, and Airflow for a hybrid/onsite opportunity in Sunnyvale, CA. This role requires hands-on experience building data science solutions, developing scalable data pipelines, and working with Generative AI/LLM-based applications.
Job Title: Data Scientist
Location: Sunnyvale, CA (Hybrid/Onsite)
Employment Type: W2 Only (No C2C)
Required Skills:
• Strong experience with Python development and data science libraries.
• Hands-on experience with Large Language Models (LLMs), Generative AI, and AI/ML solutions.
• Strong knowledge of Google Cloud Platform (GCP) services including BigQuery, Vertex AI, and cloud-based ML workflows.
• Experience working with PySpark, Apache Spark, and large-scale data processing.
• Strong experience developing and managing data pipelines using Apache Airflow.
• Experience with machine learning models, NLP, data analytics, and model deployment.
• Strong SQL skills and experience working with large datasets.
• Experience with ML pipelines, data processing, and production-level AI applications.
Responsibilities:
• Design, develop, and deploy machine learning and AI solutions using Python and cloud technologies.
• Build and optimize LLM-based applications, including Generative AI and RAG workflows.
• Develop scalable data processing pipelines using PySpark and Apache Spark.
• Create and maintain workflow orchestration pipelines using Airflow.
• Work with GCP services to build, deploy, and support machine learning solutions.
• Perform data analysis, feature engineering, model development, and performance evaluation.
• Collaborate with engineering and product teams to deliver production-ready AI solutions.
• Troubleshoot data, model, and pipeline issues while improving system performance and reliability.
Interview Process: Hybrid/Onsite Interview Required
Location: Sunnyvale, CA
Employment: W2 Only – No C2C Candidates
