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Posted 5 months ago
Requirements and responsibilities
Job OverviewAs a Machine Learning Engineer, you will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code. You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale. You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, Tensorflow etc..What You’ll Be DoingGenerative AI (Proven Track Record Required)Designing, fine-tuning, and deploying LLMs in production environmentsBuilding and integrating AI-powered chatbots, virtual assistants, and Retrieval-Augmented Generation (RAG) pipelinesExpertise in prompt engineering, embeddings, and vector databases (e.g., Pinecone, Weaviate, Chroma)Hands-on experience with Hugging Face Transformers, LangChain, Azure OpenAI, or OpenAI APIDemonstrated success delivering Generative AI solutions for real-world business applicationsTraditional ML & Deep LearningStrong background in supervised and unsupervised learning (Scikit-learn, XGBoost, LightGBM, etc.)Deep learning experience with CNNs, RNNs, Transformers using PyTorch or TensorFlowApplied experience in computer vision, NLP, or recommendation systemsAbility to select and implement the appropriate ML approach based on business needsEngineering & CloudStrong software engineering skills (Python, Scala, or Java) with a focus on clean architecture and testing practicesExperience building scalable ETL/data pipelinesFamiliarity with ML Ops for CI/CD, deployment, and monitoringCloud experience (Azure preferred; AWS/GCP acceptable)ResponsibilitiesDeliver 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.QualificationsProven 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.LocationThis is a remote / virtual roleCandidate needs to be based in VietnamAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.AI DisclaimerWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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