Senior Advisor, Data Science – Machine Learning Engineer
As a Senior Machine Learning Engineer, you will play a pivotal role in advancing our AI and ML capabilities.
What you’ll achieve
Lead the architecture, development, and deployment of enterprise‑scale ML solutions across Dell’s global ecosystem. Drive MLOps standards, build production‑grade ML services, and collaborate across engineering, product, and platform teams to enable AI at scale.
Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI‑product needs.
Design, develop, and implement AI agents capable of autonomous decision‑making and action.
Lead design and implementation of scalable ML systems, pipelines, and services.
Productionize ML models with CI/CD, MLOps, model monitoring, and automated retraining.
Build and optimize feature pipelines, training workflows, and inference services.
Partner with Data Engineering and Platform teams to enable data and infrastructure readiness.
Implement monitoring for drift, performance, and reliability aligned with Dell governance.
Provide technical leadership and mentorship to engineering and data science teams.
Evaluate and integrate emerging AI/ML technologies (LLMs, vector search, GPU acceleration).
Own production incident response for ML systems (debugging, rollback, migration).
Enforce software engineering best practices (testing, versioning, code quality, reproducibility).
Essential Requirements
8+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
Advanced experience with Python, ETL pipelines (Airflow preferred), data warehousing concepts
Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments; knowledge of ML, NLP, Information Retrieval, Recommender Systems, and LLMs
Experience with container & orchestration technologies (Docker, Kubernetes, etc.) and cloud platforms (AWS, GCP or Azure); experience with training, fine‑tuning, and applying large language models for agentic AI application
Proficiency in designing and developing multi‑agent systems where multiple AI agents collaborate to achieve complex tasks
Proven experience running ML systems in production at scale
Desirable Requirements
PhD or Master’s degree in Technology, Computer Science, Machine Learning or an equivalent quantitative field
Familiarity with graph‑based techniques, semantic search, hybrid search systems, and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency; familiarity with large‑scale data handling when dealing with telemetry systems
Application closing date: 16th March 2026.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.
Job ID: R286058
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