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Machine Learning Engineer (GenAI Focus)

Role Overview
Seeking a senior-level Machine Learning Engineer to design and build Generative AI and LLM-based solutions in a modern, cloud-native environment. This role focuses on rapid prototyping, experimentation, and production-ready implementations that accelerate AI adoption across the organization.

Must-Have Qualifications

• 6+ years of experience in software engineering, ML engineering, or AI engineering
• 2+ years of hands-on experience with AI/ML initiatives involving GenAI, LLMs, automation, or advanced data platforms
• Strong hands-on experience building and prototyping GenAI solutions such as chatbots, summarization systems, copilots, or automation workflows
• Practical experience with LLM techniques including:
• Prompt engineering
• Retrieval-Augmented Generation (RAG) pipelines
• Embeddings and vector search
• LLM evaluation and fine-tuning
• Proficiency with modern ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)
• Experience deploying ML/AI solutions in cloud environments (AWS, Azure, or GCP)
• Experience building ML systems using relational, NoSQL, and/or vector databases
• Working knowledge of MLOps practices and tools such as MLflow, Docker, and Kubernetes
• Ability to design experiments, evaluate models, and benchmark performance
• Strong collaboration skills with product, data, and engineering partners
• Excellent communication skills with the ability to document, demo, and share knowledge effectively
• Ability to manage multiple initiatives simultaneously with strong attention to detail

Nice to Have

• Experience working in R&D, innovation, or fast-paced prototyping environments
• Background building internal platforms or reusable components that enable enterprise AI adoption
• Contributions to open source projects, patents, or technical publications in ML or GenAI

Interested candidates may submit their resumes online or call at 310-906-4780 for further information regarding the position.

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