OP is partnering with a globally renowned leader in media, entertainment, and consumer experiences to hire an experienced AI Engineer with a strong background in Machine Learning Engineering and hands-on experience building modern AI applications. The ideal candidate will have strong ML fundamentals, practical experience deploying machine learning models in production, and the ability to design scalable AI solutions using Generative AI, Large Language Models, Retrieval-Augmented Generation systems, AI agents, cloud platforms, and enterprise-grade engineering practices.
Key Responsibilities
- Design, develop, and deploy AI-powered applications and services.
- Build, train, optimize, and deploy machine learning models for production environments.
- Develop Generative AI applications using Large Language Models such as OpenAI, Anthropic, Gemini, Llama, Mistral, or similar.
- Design and implement Retrieval-Augmented Generation architectures using embeddings, vector databases, and semantic search.
- Build AI agents, copilots, and intelligent automation workflows.
- Fine-tune, evaluate, and optimize AI/ML models to improve performance, reliability, and business outcomes.
- Develop APIs and backend services that expose AI and ML capabilities to enterprise applications.
- Work with cloud platforms to deploy scalable AI/ML solutions.
- Collaborate with Product, Engineering, Data Science, and Platform teams to deliver AI solutions.
- Implement best practices for model deployment, monitoring, evaluation, governance, and responsible AI usage.
- Stay current with emerging technologies, frameworks, and industry trends in Machine Learning, Generative AI, and AI Engineering.
Required Qualifications
- Minimum 5 years of hands-on experience in Machine Learning Engineering or AI Engineering.
- At least 2 years of recent hands-on experience in modern AI development, including Generative AI, LLM-based applications, RAG systems, AI agents, or copilots.
- Strong experience in machine learning model development, model deployment, model optimization, and production ML systems.
- Strong understanding of machine learning algorithms, model development, experimentation, model evaluation, and performance optimization.
- Proficiency in Python and experience with AI/ML development frameworks.
- Experience developing and deploying machine learning models in production environments.
- Hands-on experience with Large Language Models such as OpenAI, Anthropic, Gemini, Llama, Mistral, or similar.
- Experience implementing RAG architectures, embeddings, semantic search, and vector search solutions.
- Experience working with vector databases such as Pinecone, Weaviate, Chroma, Milvus, FAISS, or similar.
- Experience building scalable APIs and backend services for AI/ML applications.
- Strong understanding of model evaluation, prompt evaluation, experimentation, monitoring, and optimization.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong coding, debugging, analytical, and problem-solving skills.
Preferred Qualifications
- Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar.
- Experience with MLOps tools and practices.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Experience fine-tuning open-source models.
- Experience with multimodal AI solutions involving text, image, audio, or document understanding.
- Experience building enterprise-grade AI agents, copilots, or automation platforms.
- Active GitHub profile demonstrating AI/ML projects, GenAI applications, open-source contributions, or research implementations.
Why Join Us
At our organization, technology powers the magic. As part of our team, you ll help build and maintain the systems that support our iconic brands and global operations. We offer a collaborative work environment, opportunities for growth, and a culture that celebrates diversity, creativity, and innovation.
