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5 results for Data Engineer in Atlanta, GA

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are seeking a Data Scientist to support and enhance production analytics and machine learning solutions. This role focuses on improving model performance, scalability, and reliability while partnering with cross-functional teams to deliver impactful data-driven outcomes. Responsibilities<ul><li>Develop, evaluate, and deploy machine learning and analytics solutions in production environments.</li><li>Analyze existing models and data workflows; identify opportunities for improvement and modernization.</li><li>Collaborate with product, engineering, and business teams to deliver scalable solutions.</li><li>Establish performance monitoring, testing, and iteration processes for continuous improvement.</li><li>Contribute to data pipeline development and ensure high-quality, reliable datasets.</li></ul>
2026-04-24T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
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. Responsibilities: • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases. • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs. • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows. • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis. • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience. • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting. • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use. • Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
2026-05-01T00:00:00Z

Software Engineer

Atlanta, GA
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
AI/ML Engineer Atlanta, GA Permanent Robert Half About the Role <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>What You’ll Do <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>What We’re Looking For <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>
2026-05-15T00:00:00Z

Systems Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for an experienced Systems Engineer to join our team in Lawrenceville, Georgia. This role requires a strong background in Citrix technologies, cloud solutions, and Azure Virtual Desktop. The ideal candidate will bring a hands-on approach while also contributing at a senior level to support infrastructure and cloud integration efforts. Responsibilities: • Lead the design, implementation, and maintenance of Citrix environments, including Desktop/App, Cloud, and Netscalers. • Manage and optimize Azure Virtual Desktop solutions to enhance system performance and scalability. • Collaborate with IT staff and contractors to ensure seamless infrastructure operations within a robust technical environment. • Oversee Active Directory and Azure Active Directory configurations, ensuring security and reliability. • Administer and troubleshoot Microsoft Windows Server environments to maintain system efficiency. • Integrate Microsoft Exchange services into existing infrastructure, ensuring smooth communication and data management. • Provide strategic guidance and technical expertise to improve cloud integration and infrastructure processes. • Participate in ongoing system assessments to identify areas for improvement and implement solutions. • Act as a senior-level resource for troubleshooting and resolving complex system issues. • Support the transition to a hybrid work setup after the initial onsite period.
2026-04-22T00:00:00Z

Software Architect/Engineer

Atlanta, GA
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
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. 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
2026-05-06T00:00:00Z