

Quantum World Technologies Inc.
Senior Data + AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data + AI/ML Engineer in Walnut Creek, CA (Hybrid). Contract length and pay rate unspecified. Requires USC or Green Card holder, strong Python, AWS, ML frameworks, and experience with large-scale datasets and ML Ops practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Walnut Creek, CA
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🧠 - Skills detailed
#Security #EC2 #Data Ingestion #Data Security #IAM (Identity and Access Management) #"ETL (Extract #Transform #Load)" #Clustering #RDS (Amazon Relational Database Service) #Compliance #ML Ops (Machine Learning Operations) #Scala #PyTorch #Data Engineering #Batch #Datasets #Predictive Modeling #Lambda (AWS Lambda) #Data Quality #Python #Monitoring #ML (Machine Learning) #S3 (Amazon Simple Storage Service) #Unsupervised Learning #AWS (Amazon Web Services) #TensorFlow #Supervised Learning #Cloud #Normalization #AI (Artificial Intelligence) #Classification
Role description
Job Title – Senior Data + AI/ML Engineer
Location: Walnut Creek, CA (Hybrid – 2/3 days per week onsite)
Please Note: This role need to have candidates to be either USC or Green Card holder. They must be local to Bay area, CA .
Job Description:
• Architected and led end-to-end data and AI platforms, spanning data ingestion, processing, model training etc.
• Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn etc.
• Solid understanding of supervised and unsupervised learning including classification, clustering, and predictive modeling techniques.
• Expert level experience with AWS, including designing, deploying and managing production grade AI/ML solutions using service such as S3 ,EC2,EKS/ECS, Lambda, RDS, IAM etc.
• Proven experience working designing and building large scale, complex datasets including data transformation, normalization and data quality management etc.
• Hands on experience deploying and operating ML workloads in AWS GovCloud with strong knowledge of security, compliance, and government cloud constraints.
• Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document generation, vector and LLM integration.
• Experience integrating LLMs with structured and unstructured data to generate accurate, explainable and context aware responses.
• Strong understanding of ML Ops and LLM Ops practices, including model / version management, prompt management, evaluation, monitoring and retraining.
• Experience building scalable batch and real time pipelines for data engineering, ML and generative AI workloads.
• Familiarity with data security, privacy and compliance requirements in regulated or public sector environments.
• Excellent communication and collaboration skills with the ability to work independently and drive technical initiatives.
Job Title – Senior Data + AI/ML Engineer
Location: Walnut Creek, CA (Hybrid – 2/3 days per week onsite)
Please Note: This role need to have candidates to be either USC or Green Card holder. They must be local to Bay area, CA .
Job Description:
• Architected and led end-to-end data and AI platforms, spanning data ingestion, processing, model training etc.
• Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn etc.
• Solid understanding of supervised and unsupervised learning including classification, clustering, and predictive modeling techniques.
• Expert level experience with AWS, including designing, deploying and managing production grade AI/ML solutions using service such as S3 ,EC2,EKS/ECS, Lambda, RDS, IAM etc.
• Proven experience working designing and building large scale, complex datasets including data transformation, normalization and data quality management etc.
• Hands on experience deploying and operating ML workloads in AWS GovCloud with strong knowledge of security, compliance, and government cloud constraints.
• Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document generation, vector and LLM integration.
• Experience integrating LLMs with structured and unstructured data to generate accurate, explainable and context aware responses.
• Strong understanding of ML Ops and LLM Ops practices, including model / version management, prompt management, evaluation, monitoring and retraining.
• Experience building scalable batch and real time pipelines for data engineering, ML and generative AI workloads.
• Familiarity with data security, privacy and compliance requirements in regulated or public sector environments.
• Excellent communication and collaboration skills with the ability to work independently and drive technical initiatives.





