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Designs and deploys enterprise AI/ML solutions (Generative AI, LLMs, RAG) on AWS, focusing on scalable, production-grade architectures and MLOps/LLMOps pipelines for Unum’s income protection business.
This 8-month internship involves developing full-stack web applications and backend data pipelines using Python, Dash, and Pandas to support enterprise risk management. The role focuses on building scalable, production-ready data solutions and integrating AI/ML models into interactive user interfaces.
As a Data Scientist at P&G, you will design and implement scalable machine learning, optimization, and generative AI models to solve complex business problems. You will collaborate with engineering teams to productionize these solutions while mentoring others and applying advanced analytics to massive datasets.
The Senior Data Scientist will design and implement advanced AI, machine learning, and optimization models to solve complex business challenges at scale. The role involves collaborating with engineering teams to deploy production-ready solutions using cloud platforms like GCP or Azure.
The Lead Full Stack Developer will design and maintain legacy and cloud-first applications using C#, .NET Core, and Azure. The role involves leading engineering efforts, implementing CI/CD pipelines, and leveraging AI tools to solve complex business problems.
The Senior Data Scientist will design and deploy agentic AI and GenAI analytics solutions, including RAG systems and forecasting models, while managing end-to-end MLOps. The role requires strong Python, cloud ML expertise, and experience in productionizing AI systems for enterprise or government operations.
The Senior Consultant will design and implement enterprise AI/ML solutions on the Red Hat OpenShift platform for key accounts in the ASEAN region. The role involves leading technical workshops, mentoring teams, and architecting agentic AI and MLOps workflows.
Data Scientist building end-to-end ML models and production data pipelines in Databricks (Python, PySpark, SQL) to power hyper-personalized CRM campaigns, churn reduction, and CLV prediction for a retail beauty company.
Senior Manager – Customer Analytics (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling…
The Data Scientist will build and deploy predictive models and data pipelines in Databricks to drive customer lifetime value and personalization strategies. This role involves end-to-end ownership of machine learning projects, from feature engineering to production monitoring, while collaborating with marketing and CRM teams.
The Data Scientist will analyze large construction datasets using Python, R, and machine learning to provide actionable business insights. They will build predictive models, create dashboards in Power BI, and collaborate with project teams to support data-driven decision-making.
Data Scientist at Visa solves complex business problems using advanced data science techniques, AI/ML models (e.g., large language models, transformers), and data-driven frameworks, collaborating with cross-functional teams to integrate solutions and communicate insights. Core technologies include Python, TensorFlow, PyTorch, and scikit-learn.
Build and maintain scalable MLOps platforms and pipelines supporting drug discovery at Amgen, using Python, AWS/Databricks, and AI/ML frameworks to productionize models from classical ML to LLMs.
The Senior AI Engineer will build and maintain generative AI agents and classical ML models in production using Azure AI Foundry and Python. This role focuses on executing technical specifications, implementing LLMOps frameworks, and ensuring system observability within a global team.
Builds and deploys AI/ML models and applications to automate decisions and insights for a reverse-mortgage fintech, using Python, TensorFlow/PyTorch, and cloud MLOps.
Senior Data Scientist analyzing energy market operations at an RTO, building predictive analytics, dashboards, and automated alerts using Python/R, ML frameworks, and cloud platforms to support grid reliability decisions.
Senior Data Scientist at an AI services firm, working across the full data lifecycle—cleaning, analyzing, and building ML models using Python, SQL, Databricks, and cloud platforms (Azure/AWS), with regular client-facing onsite work in DFW.
About CFD Research: Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy…
Lead AI/ML Engineer defining architecture and strategy for enterprise AI/ML pipelines, mentoring teams, and integrating LLMs and Generative AI into production using Python, cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and MLOps tooling.
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