Senior Software Engineer / Senior ML Engineer

As a Senior Machine Learning Engineer at Walmart Global Tech, you will be responsible for designing and deploying AI systems using LLMs, RAG frameworks, and advanced agentic techniques. Your role will involve: - **AI Development & Agentic Frameworks:** - Designing and implementing Generative AI solutions utilizing RAG for summarization and knowledge retrieval. - Building and integrating LLM-based agents that utilize vector search technologies to provide dynamic, real-time responses. - Fine-tuning and optimizing models for specific business needs and tasks. - **System Design & Scalability:** - Contributing to building scalable, distributed systems that integrate machine learning pipelines. - Translating high-level designs into detailed solutions, including mock-ups, pseudo-code, and modular components. - Designing and implementing MVPs to validate and refine AI-driven features. - **Collaboration & Integration:** - Supporting architectural decisions to ensure alignment with both functional and non-functional requirements. - Participating in code reviews and ensuring adherence to best practices. - **Leadership & Mentorship:** - Driving technical direction for large-scale AI initiatives and mentoring junior engineers. - Establishing best practices for building and maintaining AI-driven systems. **Qualifications Required:** - 6+ years of experience in machine learning engineering, with a focus on Generative AI and NLP. - Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and NLP libraries like Hugging Face Transformers. - Hands-on experience with RAG frameworks, vector search tools, and knowledge grounding techniques. - Familiarity with distributed systems, scalable architectures, and cloud platforms (GCP, Azure). - Strong understanding of software design patterns, disaster recovery strategies, and non-functional requirements. Join Walmart Global Tech, a company that is at the forefront of AI innovation, leveraging cutting-edge technologies to redefine customer experiences. Be prepared to make a significant impact and help create the future of retail.,