Consultant, Machine Learning Engineer

Consultant ML 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. Join us  to do the best work of your career and make a profound impact as  Consultant ML Engineer  on our growing and dynamic team in  Round Rock, Texas. 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.scale ML solutions across Dell’s global ecosystem.  As a Consultant Machine Learning Engineer , you will play a pivotal role in advancing our AI and ML capabilities. You will be responsible for designing, building, and operationalizing machine learning systems, including next generation agentic and GenAI powered applications. You will drive and execute our broader AI/ML strategy. You will also be leading Spec Driven Development models for agentic solutions.  A key focus of this role is transforming our services journey through intelligent automation, ML driven decisioning, and autonomous agentic systems. You will work deeply across data pipelines, model development, optimization, and production deployment to deliver scalable, high performance ML solutions. You will also be responsible for owning core Agentic products and conceptualizing agentic models. You will Lead the end‑to‑end Agentic lifecycle—from conceptualizing, prototyping and driving delivery with engineering teams. Design and build autonomous AI agents, ML systems, pipelines, and inference services. Work with business leads to imagine agentic products and drive accelerated delivery through Spec Driven Development Implement MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining. Collaborate with Data Engineering and Platform teams to ensure data, infrastructure, and governance readiness. Provide technical leadership while integrating emerging AI/ML technologies and managing production incidents. 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: 12 years of experience delivering complex AI/ML or applied science systems, including deep learning, machine learning, and LLM‑based solutions. Advanced Python expertise with strong knowledge of ETL pipelines (Airflow preferred) and modern data‑warehousing concepts. Strong software engineering background with hands-on experience in AI frameworks, cloud environments, and domains such as ML, NLP, IR, recommender systems, and LLMs. Proven experience with Docker, Kubernetes, and major cloud platforms (AWS/GCP/Azure), including training, fine‑tuning, and applying LLMs for agentic AI applications. Strong product management and Sr. Exec level presentation and technical story telling capabilities Desirable Requirements PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field Familiarity leveraging 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. Compensation Dell is committed to fair and equitable compensation practices. The compensation range for this positio ... (truncated, view full listing at source)