Top Senior Machine Learning Jobs in Atlanta, GA

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.

Design, optimize, and deploy deep learning models for customer behavior prediction. Perform feature engineering, implement research-informed architectures, scale training pipelines, collaborate with client teams, document findings, and uphold engineering best practices.

Design and develop advanced machine learning and generative AI solutions for complex business problems. Build, fine-tune, evaluate, optimize, and deploy LLM and ML models using AWS services, SageMaker, RAG architectures, vector indexing, and MLOps practices. Create scalable end-to-end architectures for training, inference, retraining, and web application integration. Collaborate with developers, QA, project managers, and stakeholders to deliver reliable AI solutions.

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 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.

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.

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.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

Lead product ownership for Advisor Experience, owning roadmap from discovery to delivery. Build integrations and AI features (Aspen AI, client portal), deliver advisor capacity and transition tools, work with engineering/design/data and external partners, and drive Client Excellence KPIs (Net Revenue Retention, NPS, advisor retention, transition success).

Lead and develop a team of five East Coast Enterprise Sales Leaders to drive new logo acquisition and account expansion. Build sales plans, manage pipeline from lead generation through close, recruit and coach leaders, and contribute to GTM strategy while reporting to the VP of Enterprise Sales. Remote-first role with occasional off-hours work.

Drive technical wins for enterprise financial institutions by scoping solutions, leading discovery (MEDDPICC), tailoring demos, building business cases, owning RFI/RFPs and POCs, and coordinating product/engineering to validate feasibility for fraud and financial crime prevention.

Lead product vision and roadmap for Tekion's Automotive CRM, translate dealer and partner needs into product requirements, define AI/LLM-enabled CRM capabilities, collaborate cross-functionally to deliver SaaS CRM features, create product artifacts, measure success metrics, and prioritize initiatives to drive adoption and strategic account success.

Build and maintain ML and generative AI tooling, training and inference platform services, model evaluation and testing frameworks, and APIs to expose ML products. Deploy and manage applications across the AI/ML SDLC, mentor teammates, and write production-quality code daily.

Build and productionize ML models and data pipelines, implement MLOps and CI/CD, monitor and retrain models, define ML frameworks and best practices, mentor hires, and collaborate with product and data teams to drive ML roadmap and operational excellence.

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.

Lead enterprise AI platform automation across infrastructure provisioning, CI/CD, governance, observability, deployment, and lifecycle management. Build self-service capabilities for GenAI, data science, data engineering, and analytics workloads using Terraform, Kubernetes, cloud technologies, Python, and DevSecOps practices. Support agentic AI, event-driven architectures, distributed computing, and operational reliability while collaborating with engineering, architecture, governance, security, and business stakeholders. Provide technical leadership, design reviews, mentoring, and best-practice guidance.

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Director of Product Management will oversee the product lifecycle for AI products, focusing on customer collaboration, rapid prototyping, and product strategy. The role involves leading product teams, driving execution, and shaping the product culture.

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.

The SAP Innovation Architect will design SAP automations, mentor engineers, and drive innovation in AI-driven SAP operations, while ensuring scalability and security in integrations.

Lead MLOps efforts to productionize machine learning models: build containerized deployments, automate CI/CD pipelines, manage Azure-based ML lifecycle, monitor model performance and data drift, collaborate with data engineering on pipelines, and mentor junior MLOps engineers while driving engineering best practices.

Act as the technical lead in enterprise sales: run technical discovery, design and deliver customized demos and POCs, assess API/cloud/model fit, address technical objections, support contract negotiations, and relay product feedback to engineering while staying current on AI/ML trends.