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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Hewlett-Packard Development Company, L.P. - **Location:** United States - **Experience:** Expert - **Salary:** $147,050.0 - $230,850.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Big Data, Nvidia CUDA, Computer Programming, Computer Literacy, DevOps, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Software Engineering, Software Systems, Pytorch, Large Language Models, Deep Learning, Reliability of Systems, Generative AI, Kubernetes, Information Technology, Performance Monitor, Machine Learning Operations, Multiaccess Edge Computing, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/dd4135fe-89f4-42c7-a7f6-477701af0c08 ## About the Role * Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. * Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field. Preferred Certifications AWS Certified Machine Learning Specialty or equivalent Knowledge & Skills AI/ML Inference Infrastructure Agile Methodology Algorithms Artificial Intelligence Automation Big Data C++ (Programming Language) Computer Science CUDA Data Science Deep Learning GenAI Infrastructure Monitoring and Observability Kubernetes LLM Eval LLMOps Machine Learning Model Quantization Natural Language Processing Python (Programming Language) PyTorch (Machine Learning Library) Retrieval-Augmented Generation (RAG) Software Engineering Vector Databases vLLM Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity ## Description This role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms. The role ensures that ML models are properly trained, validated, and optimized for performance., * Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models. * Builds and maintains robust data pipelines and monitoring systems in distributed computing environments. * Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance. * Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements. * Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles. * Collaborates with DevOps teams to integrate models into production systems and automate deployment processes. * Validates, communicates, and monitors the delivery of customer requirements for AI/ML solutions. * Participates in cutting-edge research in artificial intelligence and machine learning applications. * Stays up-to-date with the latest advancements in machine learning and related technologies. * Manages and maintains the compute cluster environment used to host and serve machine learning models, including capacity planning, performance monitoring, resource allocation, system reliability, and operational support., Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Complexity Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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