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Build, deploy, and maintain ML models and systems in Python using scikit-learn, TensorFlow, and Spark to solve business problems.
Owns financial data migration for Oracle Fusion while building AI-powered agents and LLMs to automate data quality, anomaly detection, and predictive analytics in finance operations.
Mid/Senior AI Engineer analyzes big data, develops and deploys ML/DL/NLP models, collaborates with teams, using Python, TensorFlow, PyTorch, SQL/NoSQL.
A Junior Data Scientist implements AI models (computer vision, time series forecasting) for FieldPro by Optimetriks, optimizing models, creating dashboards, and collaborating with teams to deliver insights for clients, using Python, SQL, and ML libraries like TensorFlow/PyTorch.
Operationalize machine learning services by building scalable APIs and frameworks, collaborating with data scientists and DevOps teams. Core technologies include Python, TensorFlow/Scikit-Learn, cloud platforms (Azure/AWS/GCP), and containers like Docker/Kubernetes.
Leads advanced analytics and AI solutions for Campbell Soup, developing ML models (MLOps, TensorFlow, PyTorch) to optimize supply chain, marketing, and retail operations while mentoring teams and driving data-driven decision-making.
Build and maintain full-stack fintech applications using C#, .NET Core, Angular, and SQL, deploying on AWS and integrating AI/ML models.
A Data Engineer role supporting a clinical screening and diagnostics project, focusing on building ingestion and transformation pipelines, data cleansing, and shaping data models using SQL, Python, and modern data tools like Spark or Azure Data Factory.
A mid-level Data Scientist who provides statistical and mathematical support to analyze data, design analysis projects, and generate insights for leadership to inform strategic decisions, using tools like SQL, Pandas, and Jupyter Notebook.
The Data Scientist will develop AI and machine learning models, including Generative AI solutions, to support Singapore government agencies. The role involves full-stack development, data wrangling, and maintaining AI-powered applications using technologies like Python, AWS, and various LLM frameworks.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
Job Details: Tyson Foods, Inc. has an opening for Lead Data Scientist in Springdale, AR. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using…
Internal Management & Management Support Applicants: Automatic notification to your current manager will be initiated upon selection for interview. This applies to all current P or M level candidates. Relocation…
Build AI-powered features like search, recommendations, and generative AI tools for a healthcare marketplace, spanning models, APIs, and user interfaces.
Designs and deploys end-to-end machine learning solutions for clients, bridging business problems with statistical modeling, cloud-based analytics, and production-grade MLOps. Focuses on Azure-based pipelines, model governance, and stakeholder collaboration.
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to power Kensho’s AI toolkits and generative AI products.
Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new…
Lead ML strategy, model development, and a team for AquaEye's AI-powered handheld sonar devices used in water rescue, working with Python, C, PyTorch, Scikit-learn, and embedded ML on IoT hardware.
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