Job Title: AI Engineer
Location: Rancho Cordova CA
Mode: Contract (6 Months)
Job Description:
Responsibilities:
- 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.
Required Qualifications:
- Bachelors or Masters 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.
Job Title: AI Engineer Location: Rancho Cordova CA Mode: Contract (6 Months) Job Description: Responsibilities: 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 an...
Job Title: AI Engineer
Location: Rancho Cordova CA
Mode: Contract (6 Months)
Job Description:
Responsibilities:
- 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.
Required Qualifications:
- Bachelors or Masters 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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