Senior Advisor, Machine Learning Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. What you’ll achieve: As a Senior Advisor, you will build production-grade models and resilient pipelines that power product features and operations. You will contribute to feature engineering, experimentation at scale, and model optimization for latency and throughput. You will partner with data scientists and platform engineers to harden solutions for real-world usage. Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Machine Learning Engineer team. ### Responsibilities **You will:** - Design, implement, and evaluate ML models with reproducible training and inference pipelines. - Develop feature engineering workflows and data quality checks with clear documentation. - Integrate models into services, add telemetry, and automate retraining and rollbacks. - Conduct experiments and ablation studies to improve accuracy, robustness, and efficiency. ### Qualifications **Take the first step towards your dream career** Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: **Essential Requirements** - 8-12 years of related experience - Hands-on experience with Python, ML frameworks (PyTorch/TensorFlow), and data tooling (Pandas/NumPy). - Familiarity with cloud-native development, containers, and CI/CD. - Strong understanding of model evaluation, monitoring, and drift detection. - Effective collaboration skills and the ability to translate requirements into technical tasks. **Desirable Requirements** - Bachelor’s degree in Computer Science, Data Science, or a related field - Experience with vector databases, embedding models, or GPU acceleration.