Top Machine Learning Jobs in Atlanta, GA

Develops machine learning, generative AI, statistical modeling, and analytics solutions for business challenges. Responsibilities include data engineering, complex SQL, predictive modeling, automation, cloud deployment, visualization, stakeholder communication, mentoring junior data scientists, and independent AI research. The role partners with engineering, IT, product, and business teams to operationalize scalable AI and analytical solutions.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Develops and validates wholesale credit risk, market risk, stress testing, loss forecasting, scorecard, and regulatory capital models. Performs statistical analysis on large datasets, prepares technical documentation and white papers, supports model risk management, and implements models in production environments. Collaborates with technology teams, stakeholders, and senior management to address findings, monitor model performance, improve processes, and communicate quantitative results.

Senior Sales Engineer supporting pre-sales for Mastercard Identity in North America. Act as product expert to qualify prospects, design technical solutions, run proofs of value, provide training, create documentation, present at events, and relay customer feedback to Product. Leverage data science and machine learning knowledge, API/web architecture expertise, Python and SQL skills, and strong communication to drive sales and ensure smooth onboarding.

Leads system architecture and engineering for eCommerce and telecommunications platforms. Translates business requirements into scalable technical solutions, defines subsystems and interfaces, drives architecture decisions, and guides cross-functional development teams. Designs cloud and SaaS integrations across Amdocs BSSe, Azure, and AWS; supports platform modernization, continuous delivery, microservices, event-driven architecture, and AI/ML adoption. Applies 4G/LTE/5G, broadband, 3GPP, and TM Forum standards while producing detailed application designs and technology roadmaps.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Draft and negotiate complex AI procurement, SaaS, and data licensing agreements; manage contract pipelines and AI-assisted lifecycle processes; advise business leaders on regulatory, legal, contractual, IP, and data risks; develop playbooks and guidelines; and lead cross-functional initiatives supporting AI strategy, product roadmaps, and go-to-market activities.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Leads enterprise cybersecurity architecture, risk assessment, access control, network security, incident response, and security technology strategy. Develops machine learning models, detection analytics, behavioral algorithms, and predictive models for threat, fraud, and insider-risk detection. Performs threat hunting across enterprise telemetry and provides technical escalation support. Requires extensive systems administration and information security experience, with preferred expertise in cybersecurity analytics, SIEM, EDR, UEBA, programming, cloud analytics, and automation.

Develop and deploy machine learning models powering real-time bidding, advertising decisions, reporting, and customer predictions. Solve propensity modeling, bidding strategy, A/B testing, CLTV, and churn prediction problems at large scale. Build enterprise-grade data and machine learning platforms, write modular production code, collaborate with engineers, and own projects from concept through implementation.

Reviews financial services regulations and exchange rulebooks, assesses regulatory changes, and maintains auditable review records. Validates machine-learning topic classifications, provides labelled feedback, and helps maintain regulatory taxonomies. Compares platform rulebooks with authoritative sources to identify structural errors, missing provisions, duplication, and versioning issues. Performs quality assurance against development requirements and collaborates with product, engineering, and software teams to process new regulations and improve the service.

Develop machine learning, AI, statistical, and predictive models using Snowflake and other data sources. Perform data extraction, cleansing, feature engineering, experimentation, visualization, and quality analysis. Partner with business and technical teams to deliver data products, conversational analytics, and actionable recommendations. Lead discovery sessions, communicate insights to nontechnical audiences, mentor analysts, and support enterprise data science projects.

Own technical delivery and account health for insurer software deployments. Responsibilities include discovery, solution design, integrations, API and payload review, QA testing, defect documentation, workflow mapping, SQL-based production monitoring, incident management, and technical communication with carrier accounts and engineering teams.

Owns customer retention and expansion across a portfolio of accounts. The Renewals Manager engages customers before renewal, drives value-based conversations, analyzes usage and health data, identifies churn and expansion opportunities, and coordinates renewal execution across Sales, Finance, and Legal. The role also develops scalable engagement frameworks, presents pipeline insights to leadership, and partners with Account Executives and technical customer success teams in a B2B technology environment.

Lead hands-on engineering for an AI-powered email application across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Define APIs and abstractions, make architecture and scalability decisions, improve observability and reliability, and lead a small team of senior engineers through technical reviews, mentorship, and production delivery.

Leads commercial finance analysis, including growth, pricing, margin, tariff, and scenario modeling. Supports the wind-down of a licensing business through financial risk, cost, and audit analysis. Partners on finance systems transformation involving OneStream, SAP S/4HANA, EDW, GDM, and EPM platforms. Applies SQL, Python, AI, and machine learning techniques to automate reporting, improve forecasting, detect anomalies, and generate actionable financial insights.

Build and operate enterprise cybersecurity detection infrastructure across telemetry onboarding, detection development, response automation, and threat reporting. Research adversary techniques, develop high-fidelity detections, manage SIEM and SOAR integrations, and improve detection coverage and response times. Create APIs, dashboards, metrics, and automations using Python, SQL, AI/ML, and cloud security technologies. Collaborate with threat intelligence, hunting, incident response, red team, platform, and engineering teams in hybrid environments.

Build and scale accounting software synchronization solutions connecting BILL’s payment network with third-party accounting platforms. Lead end-to-end software design and delivery, develop scalable AWS microservices, improve platform performance, guide testing and CI/CD practices, resolve customer problems, mentor engineers, and use generative AI to accelerate development.

Develop and maintain internal applications and AI agents using Microsoft Power Platform, APIs, databases, Copilot Studio, and Azure. Support Agile delivery, automated testing, enterprise integrations, conversational AI, intelligent automation, security and compliance standards, performance monitoring, documentation, and cross-functional solution design. The role is remote with occasional travel and offers foundational development experience.

Lead Runpod’s Americas sales organization and revenue number across new business, expansion, and renewals. Manage and coach Account Executives and Account Managers, oversee forecasting and pipeline, lead complex enterprise deals and contract negotiations, build regional go-to-market strategy and sales playbooks, and convert product-led demand into revenue. Partner with Marketing, Product, Legal, and Finance while improving sales efficiency through AI and developing a remote-first team.

Design, develop, and implement AI/ML models; analyze large datasets; integrate AI solutions into existing systems; apply MavLink for autonomous systems; collaborate across teams and improve ML development processes.

Leads enterprise healthcare interoperability strategy, operations, connectivity, and strategic partnerships. Establishes operating models, roadmaps, KPIs, governance, and partner ecosystems across EHRs, HIEs, QHINs, payers, providers, and data networks. Translates regulatory and technical requirements into scalable capabilities, supports product and commercial growth, oversees investments and agreements, and builds high-performing teams. Requires executive leadership in healthcare data exchange, interoperability standards, regulatory strategy, operations, partnerships, and technology commercialization.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Designs and implements enterprise cloud and AI solutions for unstructured data workloads. Responsibilities include building ingestion pipelines, API integrations, document extraction and HITL workflows, tuning machine learning models, benchmarking performance, and ensuring security, availability, disaster recovery, and data isolation. The role also supports customer developers, leads technical proofs of concept, mentors engineering teams, develops reusable blueprints, and provides feedback to product engineering.