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Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Remote part-time (20h/week, path to full-time) ML Engineer at Analytix: build churn, LTV, VIP-potential and responsible-gaming models for a B2B iGaming analytics platform. Work covers ClickHouse feature engineering, reproducible training and batch-scoring pipelines, MLflow tracking, SHAP explainability, and drift monitoring using Python, scikit-learn and gradient boosting.
If you're passionate about technology and ready for a challenge, join our team of talented individuals and show your technical skills, creativity, and drive for impact. You'll work with the best in the industry…
Designs, trains, tests, and deploys large-scale distributed machine learning systems, working in an agile team with data scientists and engineers to integrate ML feedback loops into products. Key technologies include Python/Golang/C++, ML libraries like TensorFlow and scikit-learn, Docker/Kubernetes, and cloud platforms.
Builds and scales AI-driven data pipelines for Shopify brands, integrating e-commerce platforms and automating inventory forecasting with Python, SQL, and AI tools.
Designs, deploys, and maintains AI/ML models and MLOps pipelines for federal government clients, primarily using Python, TensorFlow/PyTorch, and cloud platforms like AWS/Azure/GCP.
Data Scientist building an intelligent AI agent to automate processes on a large telecom project: developing ML ranking/optimization models, data pipelines, and LangGraph (ReAct) agents integrated via REST API and MCP. Core stack: Python, pandas, scikit-learn, XGBoost/LightGBM, LangGraph, LLMs, SQL.
Kredivo is hiring a Data Scientist in Jakarta to build AI products for its payment collections journey: LLM-powered WhatsApp/in-app chatbots and voice bots, automated auditing of collection calls/chats using speech-to-text, and predictive models like propensity-to-pay. Core stack is Python, SQL, ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch) and LLM tooling, with A/B testing to prove impac
Senior Data Scientist on Feedzai's Customer Success team, working directly with banking and payments clients to clean and validate their data, build and tune fraud-detection machine learning models, and communicate findings to stakeholders. Core stack: Python, Java/Scala, bash, and big-data tools like Spark and Hadoop.
At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features…
About the Role We are looking for a proactive, curious, and business-oriented Data Scientist to join our Alternative Credit Scoring team. As one of the first Data Science members in the company, you will play a key…
In-house data scientist role with a large Australian hospitality group in Melbourne: own the end-to-end build of a demand forecasting model for recently acquired venues (revenue, covers, product demand at daily and intraday levels), solving the cold-start problem and deploying to production. Core stack is Python, SQL, LightGBM/XGBoost/Prophet/ARIMA and cloud ML (Azure, AWS or Databricks).
Please complete the attached Internal Transfer Request Form and submit. Please make sure to apply with your Coupang e-mail address . Company Introduction We exist to wow our customers. We know we’re doing the right…
Crunch Numbers. Build Models. Shape Strategy. Create Impact! About LJI Loyalty Juggernaut (LJI) is a leading B2B SaaS company redefining how enterprises drivecustomer engagement and loyalty. Our flagship platform,…
Data Scientist About Innowave Tech Singapore Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain…
🚀 Ready to take your Machine Learning expertise to new heights? About the Role We are looking for an experienced Senior Machine Learning Engineer to contribute to large-scale Machine Learning and AI projects within…
Note: Successful candidates need to be comfortable with working on weekends and shift as and when required. Responsibilities Translate business requirements into AI architectures, implementation plans and measurable…
Responsibilities Translate business requirements into AI architectures, implementation plans and measurable evaluation criteria. Develop reusable agents and RAG components for market intelligence, client engagement,…
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