We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes.<br><br>Responsibilities:<br>• Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases.<br>• Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs.<br>• Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows.<br>• Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis.<br>• Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience.<br>• Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting.<br>• Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use.<br>• Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
<p>AI/ML Engineer </p><p>Atlanta, GA </p><p>Permanent </p><p>Robert Half </p><p><br></p><p>About the Role </p><ul><li>We’re seeking experienced AI/ML Engineers interested in consulting-driven work to design, build, and deploy enterprise-grade AI solutions. This role focuses on delivering scalable ML and GenAI systems that drive automation, insights, and operational efficiency across multiple business functions. You’ll operate as an internal consultant and technical leader, partnering with stakeholders to identify opportunities, implement AI tools, and bring solutions from concept to production. </li></ul><p>What You’ll Do </p><ul><li>Design and own end-to-end AI/ML and GenAI solutions, including LLM-based applications and predictive models Collaborate across multiple business units to identify, scope, and deliver high-impact AI use cases Build and deploy AI-powered applications (RAG pipelines, agentic workflows, automation tools) </li><li>Evaluate, recommend, and integrate third-party AI platforms and vendors Develop scalable APIs, pipelines, and microservices using Python (FastAPI, Flask, Django) and cloud platforms (AWS, Azure, GCP) </li><li>Leverage tools like ChatGPT, Claude, Gemini, and Copilot to automate workflows and generate insights from structured and unstructured data</li><li>Create dashboards and reporting solutions using Power BI or similar tools to drive data-informed decisions Translate business requirements into technical architectures and production-ready systems Implement evaluation frameworks, metrics, and monitoring for model performance and business impact </li><li>Ensure secure, scalable, and compliant deployment of AI solutions Identify risks (bias, hallucination, data leakage) and implement mitigation strategies Act as a trusted AI advisor, proactively identifying opportunities to drive efficiency and innovation </li></ul><p>What We’re Looking For </p><ul><li>3–5+ years of experience in AI/ML Engineering, Data Science, or Software Engineering Strong Python skills with ML frameworks (TensorFlow, PyTorch, etc.) </li><li>Experience building LLM-based solutions (OpenAI, Anthropic/Claudecode, Gemini, Copilot, etc.) Hands-on experience with AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) </li><li>Strong experience with API development and system design Experience working with large datasets and integrating across enterprise systems Proficiency in data visualization/reporting tools (Power BI or similar) </li><li>Experience designing and deploying production-grade AI systems in cloud environments Strong understanding of model evaluation, data quality, and AI system performance </li><li>Proven ability to partner cross-functionally and manage multiple stakeholders </li><li>Strong communication skills and ability to operate in consulting/client-facing environments Self-starter with the ability to adapt quickly across business domains</li></ul>
<p><strong>Service & Automation Engineer</strong></p><p>This position supports customers with technical service needs related to advanced manufacturing equipment and automated production systems. The role focuses on troubleshooting, upgrade support, and automation software commissioning to ensure equipment performance, uptime, and customer satisfaction.</p><p>You will travel to customer sites and work independently to diagnose and resolve technical issues. Candidates should be self-driven, organized, and comfortable handling service requests both on-site and remotely. Travel may be required on short notice, with service visits typically lasting 1–2 weeks and occasionally longer. When not traveling, you will provide remote support and contribute to continuous improvement of service operations.</p><p><br></p><p>Key Responsibilities</p><p>Customer Support & Service</p><ul><li>Serve as a primary technical contact for customer inquiries and service requests.</li><li>Provide remote troubleshooting support using phone, email, and secure remote access tools.</li><li>Diagnose issues and guide customers through corrective actions.</li><li>Escalate complex problems to specialized engineering teams when needed.</li><li>Perform on-site service work such as troubleshooting, commissioning, maintenance, and repairs when remote resolution is not possible.</li></ul><p>PLC Programming & Troubleshooting</p><ul><li>Modify, test, and debug PLC programs across modern and legacy control platforms (examples include Siemens and Allen-Bradley systems).</li><li>Troubleshoot ladder logic, function blocks, and structured text issues.</li><li>Optimize control logic for performance, safety, and efficiency.</li><li>Perform online/offline edits during commissioning or service activities.</li></ul><p>Drive Configuration & Diagnostics</p><ul><li>Configure and troubleshoot VFDs, servo drives, and motion controllers.</li><li>Set motor parameters, feedback devices, and motion profiles.</li><li>Diagnose drive faults such as overcurrent, encoder errors, or communication issues.</li><li>Integrate drives with PLC systems via industrial networks (e.g., EtherNet/IP, Profinet).</li></ul><p>HMI / SCADA Support</p><ul><li>Create or modify operator interface screens including alarms, trends, recipes, and controls.</li><li>Connect PLC tags to HMI objects and verify communications.</li><li>Adjust user interfaces based on operator feedback.</li><li>Troubleshoot display, scripting, or communication issues.</li></ul><p>Quality & Continuous Improvement</p><ul><li>Confirm resolution of service issues and ensure equipment reliability.</li><li>Provide feedback to engineering teams on recurring problems or improvement opportunities.</li><li>Document service activities and customer interactions in internal systems.</li></ul><p>Collaboration</p><ul><li>Support spare-parts identification and service quotation activities.</li><li>Share technical knowledge with internal teams and participate in project discussions.</li></ul>
We’re partnering with a Metro Atlanta-based organization to permanent a Data Architect with strong MuleSoft and modern data platform experience. This is a hands-on architecture role focused on building scalable integration and data solutions across the enterprise. You’ll work closely with engineering, analytics, and business teams to design and deliver secure, scalable, and reliable data flows that support enterprise-wide decision-making. <br> What You’ll Be Doing Design and build API-led integration solutions using MuleSoft Anypoint Platform Develop and maintain scalable data architecture and Data Fabric solutions Create and manage APIs, integration flows, and system-to-system connectivity Work with cloud and on-prem environments to ensure seamless data movement Design and optimize data pipelines and transformation workflows using: SQL PySpark / Spark Data engineering best practices Support real-time analytics, BI, and operational reporting Enforce API lifecycle governance (versioning, security, access control) Ensure data quality, lineage, governance, and compliance standards Build proof of concepts (PoCs) to validate integration approaches Collaborate with IT, analytics, and business stakeholders across the organization
<p><strong>Overview</strong></p><p>Our client is seeking a <strong>Lead Data Security Engineer</strong> to drive enterprise-wide data protection initiatives across cloud and on-prem environments. This role will lead the design, implementation, and operational execution of DLP and CASB strategies while mentoring team members and partnering with stakeholders across the business.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead enterprise data protection initiatives, including DLP and CASB strategy design and implementation</li><li>Architect data discovery, classification, labeling, and protection programs across cloud and on-prem environments</li><li>Lead DLP investigations and remediation efforts related to data loss and exfiltration risks</li><li>Support compliance initiatives and regulatory requirements</li><li>Integrate data protection telemetry into detection and monitoring platforms</li><li>Drive threat hunting efforts focused on data exfiltration and misuse</li><li>Evaluate and recommend security tools and vendors</li><li>Provide technical leadership and mentorship to security team members</li><li>Partner with cross-functional teams and executive stakeholders</li></ul><p><strong>*Please note: </strong>This position is onsite Monday-Friday in Johns Creek, GA. No exceptions will be made. Please do not apply if you're not already local to Metro Atlanta and willing to work onsite</p>