Generative AIML Full Time Role USC and GC's only
San Jose, CA - USA
Job Summary
Generative AI/ML
About the Role:
We are seeking a Generative AI/ML with an innovative and forward-thinking mindset to join our dynamic team. The ideal candidate will be passionate about artificial intelligence natural language processing and large language models (LLMs) with the ability to design develop and deploy GenAI-driven solutions that transform business processes and enhance productivity.
You will collaborate cross-functionally with data scientists engineers and product teams to bring creative AI concepts to life leveraging tools like OpenAI Anthropic Google Vertex AI or similar platforms.
Experience Required: 4 years
Key Responsibilities:
Design and develop applications and workflows using Generative AI and Large Language Models (LLMs).
Fine-tune pre-trained models to meet specific business needs and improve performance.
Collaborate with cross-functional teams to identify opportunities for AI-driven innovation.
Build prompt engineering strategies to optimize model outputs.
Research and prototype new approaches in text image and multimodal generation.
Implement scalable GenAI solutions using APIs and cloud platforms (AWS Azure or GCP).
Evaluate and monitor AI model accuracy bias and performance metrics.
Stay up to date with the latest trends in GenAI NLP and machine learning technologies.
Required Qualifications:
Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
4 years of experience in AI/ML development with a focus on Generative AI and NLP.
Strong understanding of transformer-based architectures (e.g. GPT LLaMA Claude Gemini).
Hands-on experience with Python LangChain Hugging Face or OpenAI API.
Experience integrating GenAI models into real-world applications or enterprise systems.
Proficiency in cloud computing environments (AWS GCP or Azure).
Strong problem-solving and creative thinking skills.
Preferred Skills:
Experience with multimodal AI (text image or audio generation).
Familiarity with vector databases (Pinecone FAISS Chroma).
Exposure to prompt engineering RAG (Retrieval-Augmented Generation) and LLMOps.
Excellent communication skills and ability to explain complex AI concepts in simple terms.
Why Join Us:
Work with cutting-edge AI tools and technologies.
Collaborative and innovative environment that values experimentation.
Opportunities to shape the future of AI-driven business transformation.
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