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4 results for Ml Engineer in Atlanta, GA

Lead Data Engineer
  • Atlanta, GA
  • onsite
  • Permanent / Full Time
  • 175000 - 180000 USD / Yearly
  • We are looking for an experienced Lead Data Engineer to shape and scale modern data solutions for a growing organization. This role is ideal for a senior, detail-oriented individual who enjoys working in a dynamic environment, contributing both strategically and hands-on across engineering initiatives. The ideal candidate brings strong technical depth in cloud-based data platforms, a practical approach to data architecture, and the ability to guide engineers while partnering effectively with business stakeholders.<br><br>Responsibilities:<br>• Lead the design, development, and maintenance of scalable data pipelines and warehouse solutions using Python, Snowflake, and Azure-based technologies.<br>• Define data architecture standards that improve reliability, usability, and long-term scalability across the data environment.<br>• Drive performance tuning and optimization efforts for data processing workflows, storage structures, and query execution.<br>• Establish and strengthen data quality practices by implementing validation, monitoring, and governance measures across datasets and pipelines.<br>• Serve as a senior technical leader who can step into managerial responsibilities, providing direction, feedback, and support to engineering team members.<br>• Mentor engineers through code reviews, technical coaching, and knowledge sharing to elevate team capability and engineering consistency.<br>• Partner closely with business teams and technical stakeholders to translate operational and analytical needs into effective data solutions.<br>• Contribute hands-on to ETL development and cloud data platform enhancements, with exposure to Databricks considered an advantage.<br>• Act as a key point of coordination between business priorities and technical execution to ensure data initiatives deliver measurable value.
  • 2026-11-03T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Lawrenceville, GA
  • onsite
  • Permanent / Full Time
  • 120000 - 150000 USD / Yearly
  • We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
  • 2026-10-21T00:00:00Z
AI GTM Engineer (Contract)
  • Atlanta, GA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p><strong>Location:</strong> Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta)</p><p><strong>Duration:</strong> Ongoing Contract</p><p><strong>Employment Type:</strong> Full-Time Contract</p><p><br></p><p>About the Role</p><p>We are seeking an innovative, system-minded <strong>AI GTM Engineer</strong> to join our team on an ongoing contract basis. In this role, you will sit at the intersection of Revenue Operations, Sales, Marketing, and AI Technology. You will architect, automate, and scale intelligent systems that turn market signals into high-converting revenue motions.</p><p>If you excel at building agentic workflows, leveraging data enrichment tools, and integrating custom AI logic directly into GTM tech stacks, this role offers an opportunity to directly shape our revenue infrastructure.</p><p>Key Responsibilities</p><ul><li><strong>AI &amp; Agentic Workflow Architecture:</strong> Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.</li><li><strong>Signal &amp; Data Orchestration:</strong> Build data waterfalls and signal-based triggers (intent data, hiring spikes, executive shifts) using modern tools (e.g., Clay, Apollo, Clearbit, OpenAI/Anthropic APIs) to surface high-value opportunities to revenue teams.</li><li><strong>Tech Stack Integration:</strong> Wire AI capabilities directly into our CRM (Salesforce/HubSpot) and outreach tools, bridging gaps between disconnected sales/marketing applications via custom APIs and automation tools.</li><li><strong>Experimentation &amp; Playbook Design:</strong> Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).</li><li><strong>Team Enablement &amp; Technical Governance:</strong> Serve as a bridge between RevOps and frontline reps. Train sales and marketing teams on AI tool adoption, ensure data hygiene, and maintain operational stability.</li></ul>
  • 2026-11-02T00:00:00Z
Systems Engineer
  • Atlanta, GA
  • onsite
  • Temporary / Contract
  • 55 - 65 USD / Hourly
  • <p>For our client, we are seeking a Systems Engineer to support the design, implementation, administration, and maintenance of enterprise IT infrastructure. This individual will be responsible for ensuring system reliability, security, performance, and availability across physical, virtual, and cloud-based environments.</p>
  • 2026-10-23T00:00:00Z