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Builds and deploys LLM-powered agentic workflows for network troubleshooting using LangGraph, MCP servers, and Kubernetes, focusing on reasoning pipelines, tool integration, and production-scale AI systems.
Build and scale ML systems for identity resolution, audience intelligence, and personalization across WBD’s streaming brands using Databricks, Snowflake, and AWS.
At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated…
An Australian-owned tech company that's built a proprietary data platform processing billions of data points a day, pulled in from IoT sensors deployed across some of the world's busiest physical spaces. Think…
We are looking for a Senior / Lead Data Engineer (Freelance) to join project-based initiatives focused on industrial data and AI-driven analytics within the chemical and process industry . Engagement model: ✅ Freelance…
About the Role In this role, you will design and deploy classical machine learning solutions — from time series forecasting and predictive modelling to optimization and dynamic scheduling systems — within…
Salary: Competitive Digital Integration Engineer Brisbane-based role with flexible working arrangements and occasional site 12 month contract with view for extension Monday to Friday in Brisbane CBD We are seeking an…
Senior Manager, Data Science Location: Hyderabad - TS - IN Time Type: Full time Job Description Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But…
Build AI-powered infrastructure for hardware engineering teams to analyze telemetry, automate anomaly detection, and accelerate root-cause investigations across aerospace, defense, and autonomous systems.
Build and scale production-grade driver-based revenue models that link Snowflake’s product usage to financial outcomes, enabling self-service scenario planning and executive decision-making.
Build and own the data backbone for a climate-tech startup, designing infrastructure to store and analyze experimental and manufacturing data while creating tools to help engineers and scientists derive insights.
Analyzes M&A opportunities using financial modeling, statistical techniques, and econometric forecasting to evaluate deals and support trading strategies.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Analyze autonomous-truck sensor and telemetry data to build safety metrics, quantify risk, and support regulatory decisions using Python, SQL, and statistical methods.
Build and maintain scalable data pipelines using Databricks, Kafka, and Delta Lake to power digital twin platforms, real-time systems, and AI workloads.
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
System Data Scientist Location: Stockholm,Stockholm,Sweden Department: 76 Product Development Work Location: hybrid Join our Team About this opportunity: The RAN System Management & Architecture sector leads and…
Data Scientist analyzing DoD data with SQL, Python/R, and ML to build predictive models and visualizations for mission-critical decisions.
Senior Data Analyst builds predictive models and dashboards to optimize user acquisition and monetization for mobile games and apps, using SQL, Python, and Tableau.
Build and ship agentic AI features for workforce management, integrating LLMs with deterministic rules and safe execution patterns in a C#/.NET stack.
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