Top Machine Learning Jobs in Atlanta, GA

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

Lead a new team to define and deliver AI-powered operational solutions across finance, staffing, delivery, and sales. Set strategy, scope problems, build scalable LLM-based tools, ensure adoption and maintenance, report measurable outcomes to the COO, and manage a distributed team focused on production-grade AI solutions.

Lead end-to-end AI deployments and POCs for grocery retailers, working with sales and engineers to deliver production ML solutions (forecasting, optimization) that achieve measurable ROI and convert pilots to long-term partnerships.

Lead quota-carrying strategic sales engagements with Global 1000 customers: develop high-value AI use cases and roadmaps, drive digital transformation, manage strategic account plans, collaborate across sales, engineering, product, and marketing, and travel to customer sites up to 50% to close and ensure customer success.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

Design, build, and deploy novel sensor hardware and data acquisition systems; curate geoscientific datasets; develop statistical, physics-based, and ML models (2D/3D) to predict mineralization; create visualizations and evaluation tools; collaborate with geoscientists, engineers, and vendors; deploy sensors in the field and integrate results to guide exploration programs.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead end-to-end supply chain transformation engagements for commercial and utility clients. Advise executives, design future-state supply chain architectures, oversee implementation across planning, procurement, logistics, and analytics, build financial value cases, and manage multidisciplinary teams to deliver measurable operational and financial results.

Lead end-to-end supply chain transformation engagements, advising executives and directing multidisciplinary teams to improve planning, procurement, logistics, inventory, and supplier performance. Design future-state architectures, build business cases, drive implementation, grow client relationships, and scale practice capabilities while delivering measurable operational and financial impact.

Lead data strategy and analytics for cognitive assessment studies: design algorithms and models, implement CDISC-compliant data transfers (SDTM/ADaM), produce statistical analysis plans and scientific reports, build and maintain analytics pipelines, dashboards, and visualizations, ensure data quality and QC, and present results to sponsors while managing multiple projects independently.

Lead perception vision, strategy, and roadmap for AV perception. Drive advances in detection, classification, tracking, fusion, and prediction; design sensor suites; define KPIs; hire and manage engineering teams; coordinate cross-functional deployment and issue resolution to ensure robust commercial autonomy performance.

Senior business analyst enabling operational excellence through data products, KPIs, dashboards, automation, and analytics. Build foundational datasets, lead analytics and ML initiatives, define performance metrics, drive tooling/platform integration, and translate results for executives while mentoring teams and promoting data governance.

Design, build, and maintain scalable AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists and engineers to implement and optimize AI solutions, troubleshoot pipeline issues, document best practices, and develop MVP code to transition into production-ready systems.

Lead global sales enablement strategy and programs to drive revenue, product adoption, and GTM readiness. Oversee product-aligned enablement teams, launch readiness, content and demo strategy, CRM and tool adoption, measurement frameworks linking enablement to outcomes, and integration of AI into enablement.

Lead Billtrust's Applied Intelligence product strategy, build and scale AI product teams, define governance and evaluation standards, translate frontier AI into production-grade AR solutions, and represent the company externally to drive commercial impact and customer co-creation.

The Data Scientist II will design, build, and deploy machine learning models and data products, translating business problems into data-driven solutions, while collaborating with various stakeholders and ensuring reliable, production-ready outcomes.

Lead experimental ML initiatives: prototype and scale multimodal models, design agentic workflows, improve ML infrastructure and governance, mentor teams, translate research into business value, and drive responsible AI adoption.

Design and implement scalable machine learning systems, analyze large datasets, and develop data-driven solutions in collaboration with clients. Lead teams and grow CapTech's practices through presentations and proposals.

The Machine Learning Engineer will design and implement data-driven machine learning solutions, collaborate with teams, and optimize scalable systems. Responsibilities include analyzing datasets, deploying analytical solutions, and leading teams.

Lead the design and implementation of machine learning solutions, providing technical leadership and mentoring in developing scalable systems for clients.

Lead Machine Learning Engineer is responsible for designing and implementing data-driven solutions, optimizing and deploying machine learning systems, and mentoring junior staff while working collaboratively across teams.

As a Software Development Engineer (AI & ML), you'll architect and implement scalable ML models, optimize data pipelines, and collaborate with teams to deliver financial tech solutions.

Drive end-to-end product design for Avid Content Core, representing the customer to define and prioritize product stories, collaborate with engineering on implementation, integrate AI into SaaS offerings, engage customers and partners, and ensure workflows, deployment, security, and quality throughout the agile development lifecycle.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.