Top Machine Learning Jobs in Atlanta, GA

The Technical Product Owner will lead product initiatives by defining requirements, managing the product backlog, and ensuring successful payment integrations while collaborating with engineering and risk teams.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.

The Product Manager will lead strategy and execution for the Conversation Intelligence product suite, focusing on AI and machine learning insights from customer conversations. Responsibilities include defining the product roadmap, collaborating with engineers and designers, communicating with stakeholders, and ensuring feature delivery.

Serve as strategic HR business partner to the CTO and senior leaders for a 300-person global AI and software organization. Lead workforce planning, talent strategy, succession, leadership development, organizational design, large-scale change using Prosci/ADKAR, retention programs, and AI-enabled HR analytics. Drive executive advisory, build talent pipelines, and partner with finance, compensation, and TA to align people strategies with business outcomes.

Drive supply chain efficiency through data analytics, KPI development, process redesign, ERP/WMS/automation selection and implementation, Lean Six Sigma continuous improvement, AI-driven forecasting, cross-functional project leadership, audits, and change management with suppliers and 3PLs.

Lead end-to-end customer implementation projects for an AI-driven scientific platform. Create project plans, manage timelines, risks, and resources, coordinate cross-functional teams, act as primary customer PM contact, and ensure on-time, on-budget delivery and customer satisfaction.

Design, build, and automate scalable batch and streaming data pipelines, implement data models and ETL, automate deployments, support ML/experimentation, maintain server architecture, and partner with stakeholders to deliver analytics and data-driven tools.

Lead product strategy and execution for a B2B SaaS marketing analytics platform. Translate research into requirements, own the backlog, partner with engineering and GTM, define success metrics, and ship API- and data-heavy features for technical users.

The Senior Director of AI Insights leads AI-driven data insights to enhance decision-making and strategy alignments across the organization, fostering stakeholder engagement and AI literacy.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Analyze large federal and state economic datasets, automate data collection and scraping, and rapidly publish clear, data-driven reporting on market-moving indicators. Collaborate with reporters and visual journalists, file public-records requests, and use emerging technologies including AI to enhance real-time coverage.

Sell Litify's AI-driven legal operating platform to law firms and legal departments. Manage full upsell motions, consult on AI adoption, deliver high-level demos to C-suite, meet sales targets, and articulate ROI of autonomous agents and AI integrations.

Lead and mature Omada's enterprise privacy program, manage HIPAA compliance and incident response, embed privacy-by-design across products, conduct privacy risk assessments and vendor due diligence, advise on consumer privacy and AI governance, support interoperability/HIE participation, and deliver privacy training and guidance across the business.

Lead consolidation of customer email and SMS into a centralized CRM (Braze), design and optimize multi-channel customer journeys, manage deliverability and sender reputation, build segmentation and experimentation frameworks, partner cross-functionally to implement integrations and measure campaign performance.

Design and evaluate causal inference experiments and causal ML models to measure product impact, optimize resource allocation, and inform support operations. Build, deploy, and iterate statistical/ML models, analyze tradeoffs, collaborate cross-functionally, and communicate insights to influence decisions and scale data science capabilities.

Build, evaluate, and deploy LLM/ML models and synthetic datasets to improve Community Support. Identify opportunities via data exploration, analyze structured and unstructured data, automate LLM evaluation, personalize experiences, and collaborate cross-functionally to drive product and operational impact.

Own end-to-end product development for AI/ML revenue cycle solutions: define vision and roadmap, write specs and user stories, prioritize backlog, work closely with data scientists and engineers, drive agile delivery, ensure quality, and measure product performance with stakeholders.

Provide legal counsel on privacy, AI, identity, and advertising technology; embed privacy by design with product and engineering teams; draft and negotiate privacy provisions and DPAs; advise on cross-border transfers and SCCs; run privacy and AI risk assessments; support incident response; create scalable legal playbooks and AI-enabled workflows; represent Yahoo in industry standards bodies.

The Senior AI Architect will design and develop scalable web applications, focusing on AI and analytics, collaborating with teams on software solutions.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

As a Principal AI Researcher, you will lead advanced AI research in agentic systems and LLMs, shaping research direction, collaborating with engineering teams, and publishing in top-tier venues while fostering a culture of scientific rigor.

Lead SAP FICO consulting engagements: design, configure, and troubleshoot FICO in S/4HANA (public/private cloud) with Fiori, run fit/gap sessions, manage migrations, support go-lives, transfer knowledge, and mitigate risks across implementations.

Senior individual contributor building behavior-based detections across identity, endpoint, cloud, network, and application telemetry. Use Python, statistical and machine learning methods, and AI-assisted tools to develop, test, and operationalize detection-as-code. Validate findings with digital forensics and incident response, partner with detection engineering and SOC teams, and map detections to MITRE ATT&CK.