Top Machine Learning Jobs in Atlanta, GA

The Sr. Manager of Logistics Engineering at Moderna will oversee the development and implementation of cold chain and supply chain visibility initiatives, ensuring product compliance and operational excellence. Responsibilities include liaising with stakeholders, training staff, and leading logistics projects to enhance performance and ensure adherence to industry regulations.

The VP of Technology will lead the development of intelligent software solutions and machine learning applications for battery technology at Electra Vehicles. Responsibilities include setting the technology strategy, mentoring the technology team, ensuring timely delivery of product features, and driving innovation in a fast-paced environment.

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

As a Digital Technology Solutions AI/ML Engineer, you will be instrumental in the development and maintenance of internal AI capabilities and solutions for Research & Development. Responsibilities include participating in research, training and deploying ML models, designing and building scalable systems, collaborating with data scientists and engineers, and leading the development and maintenance of AI solutions.

As a Senior Software Engineer on the MLOps team, you will design and develop complex software systems, lead technical projects, mentor junior engineers, and implement cloud solutions while ensuring software quality and security compliance.

As an AI Research Intern at Curai Health, you will collaborate with experienced researchers to advance machine learning applications in primary healthcare, potentially leading to publications. Interns will engage in solving complex problems and can enjoy a flexible, remote work environment.

The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

Lead and grow teams of machine learning engineers, data scientists, and software architects to deliver scalable AI/ML solutions. Engage with cross-disciplinary teams to enhance Nike's supply chain through innovative engineering practices. Advocate for best engineering practices and technology adoption, coaching engineers to elevate their skills and careers.

Enveritas is seeking an Impact Manager to develop and manage impact projects in the agricultural sector. The candidate should have 5-10 years of professional experience, including time in a leading strategy/business consulting firm. Responsibilities include project identification, impact evaluation, program design, partnership negotiation, and team management.

The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.

The SVP of Product will lead Product Management and Marketing efforts at Digital.ai, focusing on innovation in software delivery solutions, particularly in DevSecOps. Responsibilities include defining strategies, collaborating across departments, and managing a global team to enhance product offerings and customer engagement.

The Senior Product Manager will oversee the entire product lifecycle for the Fusion Product, ensuring product plans are executed seamlessly. Responsibilities include defining roadmaps, coordinating cross-team efforts, conducting competitive research, tracking product success metrics, and advocating for client interests throughout the product development process.

The AI/ML Product Analyst will collaborate with the Product Owner from ideation to launch, analyze business needs, and gather data to support business cases. Responsibilities include developing specifications, engaging in testing, and ensuring project deliverables meet requirements, particularly focusing on AI/ML products in a public health context.

The Product Management Leadership role involves guiding the product strategy and execution for Prism, overseeing the product lifecycle, making data-driven decisions, and ensuring alignment with market trends and client needs. Responsibilities include managing the product roadmap, conducting market research, analyzing performance metrics, and communicating progress to senior management.

As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.

The Staff ML Engineer at FanDuel will lead the development of scalable ML and GenAI/LLM models while collaborating with engineering teams and data scientists. Responsibilities include building serving architectures, developing platform features, managing data security and governance, and mentoring junior engineers. This role emphasizes technical leadership and requires expertise in various programming languages and ML frameworks.