Exciting opportunity for AI Engineer_ Rancho Cordova, CA-Onsite
Noblesoft Technologies
Rancho Cordova, CA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Data Cleansing
Data Structures
Python (Programming Language)
Machine Learning
OpenAI
Cloud Services
Tensorflow
Software Engineering
+14 more
Pinecone
Feature Engineering
Pytorch
Retrieval-Augmented Generation
Large Language Models
Apache Cordova
Generative AI
Containerization
AI Platforms
Information Technology
HuggingFace
Milvus
Machine Learning Operations
FAISS
Job description
- Develop, fine tune, and evaluate machine learning and LLM based models.
- 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 applications.
- Implement production ready AI services and APIs using scalable architectures.
- Collaborate with product managers and engineers to identify AI use cases and translate requirements into technical solutions.
- Monitor model performance and drift, implementing continual improvements.
- Conduct research into emerging AI techniques and tools to recommend adoption where appropriate.
- Ensure responsible AI practices including fairness, safety, privacy, and compliance.
Requirements
- Bachelor’s or Master’s in Computer Science, Machine Learning, Engineering, or a related field.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong software engineering skills in Python, plus experience with APIs, cloud services (Azure, AWS, or GCP), and containerization.
- Hands on experience building applications using LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, Anthropic).
- Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG).
- Experience deploying AI models to production environments.
- Strong understanding of data structures, algorithms, and system design.
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Prepare application
- Draft this with your agent
- Open in Claude
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