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Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Cross-Functionalunmatched
Customer Relationsunmatched
Data Analysisunmatched
Data Managementunmatched
Data Scienceunmatched
GCP (Good Clinical Practices)unmatched
Machine Learningunmatched
Microsoft Windows Azureunmatched
Python Programming/Scripting Languageunmatched
Technical Leadershipunmatched
Use Casesunmatched
Description
Job Title: GenAI Expert (Hybrid) Location: Woodland Hills, CA | Pay: 50/hr
*Please include Linkedin on your resume*
Job Description
We are looking for an experienced GenAI expert who can contribute to the design and development of AI/GenAI-based solutions or products. The ideal candidate should have strong hands-on experience in Python, Data Science, and Generative AI, and be capable of translating business problems into scalable AI solutions.
Key Responsibilities
Design, develop, and deploy Generative AI solutions for client use cases.
Work on AI/ML model development, fine-tuning, and evaluation.
Build and maintain data pipelines and AI workflows using Python.
Apply Data Science techniques for data analysis, feature engineering, and model optimization.
Collaborate with cross-functional teams to integrate AI solutions into products/platforms.
Stay updated with the latest advancements in GenAI, LLMs, and AI frameworks.
Provide technical guidance and contribute to solution architecture discussions.
Required Skills & Experience
Strong experience in Python programming.
Solid background in Data Science and Machine Learning.
Hands-on experience with Generative AI / LLMs (e.g., OpenAI, Hugging Face, LangChain, etc.).
Experience in developing end-to-end AI solutions or products.
Understanding of model training, fine-tuning, prompt engineering, and evaluation.
Ability to work independently and contribute to solution design.
Nice-to-Have
Experience with cloud platforms (AWS/Azure/GCP) for AI workloads.
Exposure to MLOps / deployment of AI models.
Experience working in client-facing or product-based environments.