Senior Machine Learning

Summary

Join Rackspace Technology as a Machine Learning Engineer and deliver impactful ML models and pipelines that solve real-world business problems. Leverage cloud-based architectures and ML Ops best practices for successful deployment. You will utilize Python, popular ML frameworks, and Generative AI technologies. This role requires a proven track record in delivering Generative AI solutions and experience with traditional ML and deep learning methods. The position is remote and based in Vietnam. Rackspace offers a collaborative environment and commitment to employee growth.

Requirements

• Expertise in prompt engineering, embeddings, and vector databases (e.g., Pinecone, Weaviate, Chroma)
• Hands-on experience with Hugging Face Transformers, LangChain, Azure OpenAI, or OpenAI API
• Demonstrated success delivering Generative AI solutions for real-world business applications
• Strong background in supervised and unsupervised learning (Scikit-learn, XGBoost, LightGBM, etc.)
• Deep learning experience with CNNs, RNNs, Transformers using PyTorch or TensorFlow
• Applied experience in computer vision, NLP, or recommendation systems
• Strong software engineering skills (Python, Scala, or Java) with a focus on clean architecture and testing practices
• Experience building scalable ETL/data pipelines
• Familiarity with ML Ops for CI/CD, deployment, and monitoring
• Cloud experience (Azure preferred; AWS/GCP acceptable)
• Proven track record in delivering Generative AI/LLM solutions in production environments
• Minimum 4 years of programming experience with Python, Scala, or Java
• At least 2 years of hands-on experience with Generative AI or conversational AI projects
• Experience deploying traditional ML and deep learning models at scale
• Strong experience with PyTorch, TensorFlow, Scikit-learn, and relevant AI libraries
• Familiarity with vector search, embeddings, and semantic search architectures
• Understanding of ML Ops best practices for production deployments
• Candidate needs to be based in Vietnam

Responsibilities

• Designing, fine-tuning, and deploying LLMs in production environments
• Building and integrating AI-powered chatbots, virtual assistants, and Retrieval-Augmented Generation (RAG) pipelines
• Ability to select and implement the appropriate ML approach based on business needs
• Deliver production-ready AI/ML solutions from concept to deployment
• Lead the design and implementation of Generative AI applications
• Apply deep learning and traditional ML methods as appropriate
• Build scalable, cloud-native AI services and APIs
• Implement ML Ops pipelines for automation, testing, and monitoring
• Collaborate with product, engineering, and infrastructure teams
• Mentor teams on best practices for both traditional ML and Generative AI

Benefits

This is a remote / virtual role