<p>We are seeking an <strong>AI/ML Engineer</strong> to build, deploy, and scale machine learning models that drive real-world business solutions. This role focuses on taking models from development to production.</p><p>Key Responsibilities:</p><ul><li>Design, build, and deploy machine learning models in production environments</li><li>Develop and manage data pipelines to support model training and inference</li><li>Collaborate with data scientists, engineers, and business stakeholders</li><li>Optimize model performance, scalability, and reliability</li><li>Monitor deployed models and continuously improve performance</li><li>Implement best practices for versioning, testing, and model lifecycle management</li><li>Work with large and complex datasets to extract meaningful insights</li></ul><p><br></p>
<p>We are hiring an <strong>AI Solutions Engineer</strong> to implement AI-driven tools and integrate them into business systems.</p><p>Key Responsibilities:</p><ul><li>Integrate AI models into production applications</li><li>Support deployment of AI tools and APIs</li><li>Work with engineering and product teams</li></ul><p><br></p>
<p>Required Qualifications:</p><ul><li>Hands-on experience with Azure cloud services and environments</li><li>Strong scripting abilities (PowerShell, Bash, or Python)</li><li>Experience building and managing CI/CD pipelines</li><li>Familiarity with Infrastructure as Code tools (Terraform strongly preferred)</li><li>Understanding of networking, security, and system architecture concepts</li></ul><p>Preferred Qualifications:</p><ul><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Exposure to monitoring tools (Datadog, Prometheus, Azure Monitor)</li><li>Experience working in an Agile or DevOps-driven environment</li></ul><p>This is an excellent opportunity for someone who thrives in a fast-paced environment and enjoys building scalable, automated systems.</p>
<p>We’re seeking an AI-focused IT Business Analyst to bridge the gap between business stakeholders and technical teams. This role will support AI/ML initiatives, gathering requirements, defining use cases, and helping translate business problems into scalable data and AI solutions.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with stakeholders to identify <strong>AI-driven opportunities</strong> across business functions</li><li>Gather, document, and refine <strong>functional and technical requirements</strong> for AI/ML solutions</li><li>Translate business needs into <strong>data models, workflows, and system requirements</strong></li><li>Collaborate with data scientists and engineers on <strong>model development and deployment</strong></li><li>Support <strong>process mapping, gap analysis, and future-state design</strong></li><li>Define <strong>KPIs and success metrics</strong> for AI initiatives</li><li>Assist with <strong>user adoption, training, and documentation</strong></li></ul><p><br></p>