<p><strong>Senior Systems Engineer / Server Engineer (Contract)</strong></p><p><strong>Employment Type:</strong> 78 Week Contract </p><p><strong>Location:</strong> Celebration, FL (Hybrid – up to 4 days onsite)</p><p><strong>Work Schedule:</strong> Monday–Friday, 8:00 AM–5:00 PM</p><p><br></p><p><strong>About the Role</strong></p><p>We are seeking an experienced <strong>Senior Systems Engineer / Server Engineer</strong> with deep expertise in VMware technologies—specifically <strong>vSphere 8.x, vCenter, ESXi, vSAN, VDS, VRealize Automation, and VRealize Operations</strong>. This role will support enterprise‑level server infrastructure initiatives, documentation efforts, and knowledge transfer activities. The engineer will play a key part in assessing, optimizing, and migrating large‑scale VMware environments while ensuring reliability, performance, and security across complex distributed systems.</p><p><strong>Key Responsibilities</strong></p><ul><li>Conduct comprehensive assessments of existing server and VMware environments to identify configuration gaps, performance issues, and improvement opportunities.</li><li>Contribute to the design and deployment of optimized server architectures supporting large‑scale, distributed footprints.</li><li>Create and maintain detailed documentation, including topology diagrams, configuration guides, connectivity maps, and operational procedures.</li><li>Ensure all materials adhere to organizational compliance expectations, including security and password‑management standards.</li><li>Deliver cross‑training sessions and knowledge‑transfer workshops to internal teams as needed.</li><li>Develop written training materials, process guides, and reference documentation.</li><li>Provide Tier 3 support for server‑related escalations.</li><li>Collaborate closely with network, engineering, and application teams to resolve issues and support ongoing initiatives.</li><li>Participate in capacity planning, disaster recovery exercises, and environment readiness reviews.</li><li>Support VMware lifecycle tasks including configuration, optimization, and migrations.</li><li>Contribute to both in‑place upgrades and greenfield implementations as part of broader infrastructure modernization efforts.</li><li>Assist in developing repeatable migration processes for large‑scale environment transitions.</li></ul>
<p>Robert Half has a new opening for an AI/ML Engineer with a reputable client here in Tampa.</p><p><br></p><p>This position is full-time hours; HYBRID schedule out of their Tampa office.</p><p>Compensation is in the $100-125K+ range depending on experience.</p><p><br></p><p><strong>TOP Skills Looking For:</strong></p><ul><li>Python based ML experience</li><li>Experience w/ Machine Learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras.</li><li>Experience w/ LLM frameworks (LangChain, Ollama, vector DBs, RAG pipelines)</li></ul><p><strong>Summary</strong></p><p>Design, build, and support custom applications and data integrations to enhance agency operations, with a focus on functionality, performance, and secure handling of sensitive information.</p><p><br></p><p><strong>Duties & Responsibilities</strong></p><ul><li>Develop, train, and optimize machine learning models using frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras</li><li>Integrate artificial intelligence (AI) models into existing in-house applications and services running in secure on-prem environments</li><li>Experiment with large language models (LLMs) and agentic coding tools, evaluating their potential for secure, internal automation and analytics tasks</li><li>Perform data preprocessing, feature engineering, and model evaluation using structured and unstructured data from multiple internal systems</li><li>Collaborate with cross-functional teams to ensure all models and data workflows align with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) protection standards</li><li>Work closely with analysts, investigators, and Information Technology (IT) staff to identify opportunities where AI can provide operational value</li><li>Participate in code reviews, testing, and deployment activities within a collaborative team environment</li><li>Continuously learn and prototype emerging AI tools while maintaining strong data governance discipline</li></ul>