Machine learning jobs in Tennessee

 ...know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture... 

 ...actionable answers to strategic business questions; apply data transformation, experimental design, predictive modeling, and machine-learning methods as appropriate.Design, fine-tune, and optimize scalable algorithms and models, ensuring strong reliability, performance... 

 ...clientPitch in on Accenture sales efforts when neededContinue to learn and develop cutting edge Data & AI solutions, especially agentic...  ...and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.Minimum... 

 ...experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join:  Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to... 

 ...design, development, evaluation, and productionization of AI/ML solutions, with a strong focus on Generative AI, LLMs, AI agents, machine learning, intelligent automation, and AI-enabled software engineering. The ideal candidate combines deep technical expertise with... 

 ...Job DescriptionRequired Skills:Overall Responsibilities:• 10 to 15 years of experience with PhD or MS. • Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines, Random Forest, logistic regression, clustering, classification, Naive... 

 ...enterprise-scale artificial intelligence solutions.You will bring broad expertise across advanced analytics, statistical modelling, machine learning, deep learning, natural language processing, computer vision, generative AI, and agentic AI, combined with a strong... 

 ...expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across... 

 ...algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable... 

 ...maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical...  ...degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant... 

 ...maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical...  ...degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant... 

 ...maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical...  ...degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant... 

 ...experienced AI Data Engineer (15+ Years) to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI... 

 ...matter experts across the organization to identify, prioritize, and solve high-value business problems using data science and machine learning. Translate business challenges into analytical, predictive, and optimization solutions. Develop a strong understanding... 

 ...development and implementation of state-of-the-art AI/ML models. • Utilize Python and other relevant tools to build and optimize machine learning algorithms. • Ensure models are accurate, efficient, and scalable for deployment in production environments. • Work... 

 ...solutions across customer experience, operational efficiency, and business growth. We are a diverse group of data scientists, machine learning engineers, and technical leaders working on high-impact projects, including Generative AI, predictive modeling, conversational... 

 ...organization. You'll work closely with business stakeholders and technical teams to identify opportunities, develop analytical and machine learning solutions, and drive projects from initial concept through deployment.The position requires a strong mix of technical... 

 ...that change.You Are:As a Snowflake Advanced AI Engineer, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready... 

 ...presentations, documentation, and mentoring.  • Participate in Slalom's learning culture and pursue continuous professional development. What...  ..., including building or integrating production-grade machine learning or generative AI solutions. • Experience with agentic... 

 ...sources of information. For more information, visit . Team overview: The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve... 

 ...innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2026) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You’ll be... 

US-Nationwide-FIELD Full time 20186338 What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities...

 ...visualization.Statistics & Statistical modeling: Expertise using statistical inference and regression. Solid understanding of machine learning algorithms. Solid understanding of feature selection and extraction. Conducts end-to-end machine learning tasks from problem synthesis... 

 ...suitability to specific scenarios.Statistics & Statistical Modeling: Expertise on statistical inference and regression. Expertise in machine learning, feature selection, and feature extraction. Demonstrated experience in leading multiple high-impact machine learning and... 

 ...using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching... 

We are seeking a highly motivated and experienced Machine Learning Engineer to develop advanced machine learning (ML), deep learning (DL), and foundational AI models for medical imaging. This role focuses on building robust algorithms for segmentation, quantification,... 

 ...engineering and integration architecture, favoring action and rapid learning over extensive upfront planning. Apply a leaning-forward...  ...degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant... 

 ...opportunity to make your mark. Key Responsibilities Lead the design and implementation of advanced statistical models and machine learning architectures that solve mission-critical business challenges at scale Partner with C-suite executives and business leaders... 

 ...environments against drift. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks—operating as an...  ...degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant... 

 ...predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques. Using combinations of Python, Azure, Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery...