GenAI expert with Python and Data science
Woodland Hills, CA - USA
Job Summary
Role Summary
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.
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.