Job Title Senior Data AI/ML Engineer
Location: Walnut Creek CA (Hybrid 2/3 days per week onsite) MUST be local to Bay Area California.
Interview mode: In-person interview
Duration: 6 Months
Job Description:
- Architect and lead 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 EC2EKS/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) MUST be local to Bay Area California. Interview mode: In-person interview Duration: 6 Months Job Description: Architect and lead end-to-end data and AI platforms spanning data ingesti...
Job Title Senior Data AI/ML Engineer
Location: Walnut Creek CA (Hybrid 2/3 days per week onsite) MUST be local to Bay Area California.
Interview mode: In-person interview
Duration: 6 Months
Job Description:
- Architect and lead 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 EC2EKS/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.
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