AI ENGINEER

Enterprise Consulting experience with a focus on Data, Machine Learning, and GenAI solutions (15+ years preferred)
- Proficiency in designing and delivering solutions that leverage GenAI technologies (e.g., LLMs, Foundation Models)
- Deep familiarity with relevant concepts and models/technologies (e.g., transformer models, prompt engineering, model fine-tuning)
- Experience delivering and scaling complex infrastructural solutions across diverse platforms
- Ability to translate complex processes and business problems into technical solutions
- Strong knowledge of:
- vLLM
- Open Shift AI
- Prometheus
- Grafana
- Aqua
- Automation of deployment and execution of pipelines
- Proficient knowledge of:
- Python and SQL
- Apache Spark, Apache Hadoop, Informatica, and similar data processing tools
- Proven experience with building test procedures and ensuring data pipeline quality, reliability, performance, and scalability
- Proven experience developing a comprehensive set of process document runbooks and plans will be developed to cover key operational procedures and activities, including:
- Operational procedures
- Activities and tasks
- Escalation processes
- Communication plans
- Ability to develop applications that expose and use Restful APIs for data querying and ingestion
- Understanding of the AI tooling ecosystem (e.g., Kubernetes, MLOps, AIOps)
- Strong communication and customer-facing skills
- Ability to work efficiently in collaborative teams using Agile methodologies
- Ability to influence and interact with confidence and credibility at all levels

- General awareness of Dell Technologies products
- Knowledge of industry-wide AI Studios and AI Workbenches
- Experience preparing data for machine learning and Large Language Model ingestion and training
- Experience building and using Information Retrieval frameworks for LLM inferencing
- Working knowledge of Linux, cloud technologies, and Lean and Iterative Deployment Methodologies
- University Degree aligned to Data Engineering and/or Data Science
- Relevant industry certifications (e.g., Databricks Certified Data Engineer, Microsoft Certifications, NVIDIA Certifications)

This AI Operations Engineer with ITIL Process Support Specialty will working within a broader team to ramp up to provide operational support by the target go-live date, March 1st, 2025. The services to be performed include:
- Incident management:
Level 3 support for issue identification, diagnosis, escalation, resolution, and coordination with key stakeholders and providers (e.g., NVIDIA, Open Shift).
- Vulnerability management: risk assessment, CVE scanning, patching, and remediation.
- Monitoring and alerting integration and operation.
- Model performance tuning and troubleshooting.
- Container image management and deployment.
- Model deployment: including pipeline development and operation of end-to-end deployment processes.
- Code deployment: including pipeline development and operation of end-to-end deployment processes.
- Day 1 Activities