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

• OpenShift 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, OpenShift).

• 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