10214 Sr. AI/ ML Engineer (5 days On-site)
2 days ago
Fountain Valley
Job Purpose: Hyundai AutoEver America is looking for a highly experienced and technically proficient Senior AI/ML Engineer to lead innovations and deliver impactful AI solutions for the automotive industry. This individual will play a pivotal role in designing and deploying advanced AI systems leveraging machine learning and generative AI techniques—including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic frameworks. The ideal candidate brings 8+ years of experience in software engineering, including 3+ years of deep AI/ML expertise, with a strong track record in developing scalable AI solutions across cloud environments. The role requires a strategic thinker with strong execution capability, capable of leading initiatives, mentoring engineers, and collaborating across multidisciplinary teams to transform business needs into AI-powered systems. Essential Functions: AI System Architecture & Model Development: • Design and build scalable AI/ML systems with a focus on performance and reliability., • Fine-tune and deploy LLMs for tasks like summarization, predictions, financial reports, and data retrieval., • Build agent-based workflows and Retrieval-Augmented Generation (RAG) systems for reasoning and insights., • Build front-end interfaces using React (or similar frameworks) to visualize AI outputs, dashboards, and workflows., • Work across the full stack to integrate AI features into user-facing and internal tools., • Ensure AI systems comply with industry standards, internal governance policies, and responsible AI practices., • Build data pipelines for training and deploying AI/ML models., • Work with structured and unstructured automotive data using Python, SQL, and visualization tools., • Use platforms like AWS SageMaker or Azure ML to train, deploy, and monitor models., • Continuously improve model performance through better prompts, data, and architecture. Integration & Product Collaboration: • Work with product managers and engineering teams to embed AI into user-facing and enterprise systems., • Lead MVPs and proof-of-concepts to test ideas quickly and effectively., • Make sure AI systems meet standards for performance, privacy, and security., • Leadership & Technical Mentorship:, • Provide technical leadership across AI/ML initiatives and influence strategic AI roadmaps., • Mentor junior engineers, define coding and deployment standards, and champion best practices in AI/ML development., • Lead code reviews, technical design sessions, and innovation workshops to elevate team capabilities. Basic Requirements: • Bachelor’s or Master’s degree in computer science, Engineering, Artificial Intelligence, or related fields. Advanced degrees or relevant certifications in AI/ML or Cloud Technologies are a plus., • Minimum 8+ years in software engineering, with at least 3+ years in AI/ML solution development., • Proven hands-on experience designing, training, and deploying LLMs, deep learning models, and traditional ML algorithms., • Strong background in prompt engineering, RAG frameworks, and development of AI agents for complex workflows., • Deep understanding of MLOps best practices including CI/CD, version control, automated testing, and model monitoring., • Expert-level proficiency in Python, with strong command over AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face., • Hands-on experience with AWS SageMaker, Azure OpenAI, or Azure ML Studio., • Strong expertise in vector databases, Azure AI Search, document intelligence tools, LLM prompt design, and agent orchestration., • Experience in developing user interfaces using modern frontend frameworks (e.g., React) to build intuitive AI-driven dashboards and applications., • Proficiency in container technologies (Docker, Kubernetes) and experience deploying AI solutions in production environments., • Experience integrating AI with enterprise platforms and APIs in microservice architecture., • Strong knowledge of relational and NoSQL databases (e.g., Cosmos DB, MongoDB) for AI metadata and embeddings., • Strong problem-solving and debugging skills, particularly in AI model evaluation and optimization., • Excellent communication and presentation skills, with the ability to clearly articulate complex AI solutions, demonstrate product capabilities, and engage effectively with stakeholders across technical and business domains., • Demonstrated leadership in mentoring engineers and driving enterprise AI projects to success., • Experience in the automotive or mobility industry, including telematics, diagnostics, or intelligent vehicle systems., • Experience implementing GenAI solutions across poly-cloud or hybrid cloud environments (e.g., combining Azure, AWS, GCP)., • Prior experience with LLM fine-tuning, multi-modal AI, or autonomous agent frameworks., • Familiarity with tools such as LangChain, MLflow, Vertex AI, Dialogflow, and Azure Monitor., • Awareness of emerging trends in generative AI, ethical AI practices, and AI security/compliance. Salary Range - $103,170 - $158, 873