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About the Applied AI Tribe The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our…
Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
A senior ML role at Hyper AdTech, a large Russian programmatic (mobile in-app RTB) advertising platform. Day to day the person builds and productionizes models for click/conversion prediction, bidding, budget pacing and traffic-quality scoring over large bidstream/event data using Python and classic ML tooling.
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients…
12-month contract data engineer role at NTT Singapore (Alexandra Building, Singapore), designing and operating enterprise Lakehouse platforms and batch/streaming pipelines with Databricks, Apache Spark, PySpark, Python and SQL, using Delta Lake/Iceberg/Hudi, Kafka, Airflow and Docker/Kubernetes CI/CD to support analytics, AI and GenAI use cases.
Director of Data Science at Known, a marketing analytics and creative agency, leading client engagements that blend data science, AI, and marketing strategy from scoping through delivery, while managing and mentoring a team of analysts and data scientists. Core stack: Python, SQL, Git, machine learning (linear/XGBoost), statistics, and experimentation.
Builds and maintains credit risk/repayment models for Clair’s fintech platform, using ML to assess risk, predict user behavior, and optimize credit decisions. Works with transaction data, deploys models in production (AWS/Snowflake), and collaborates with product/risk teams.
An Actuarial Data Scientist at Hippo leads loss cost modeling for the Homeowners insurance program — designing and deploying predictive frequency/severity models and building Python- and SQL-based analytics pipelines (Airflow-orchestrated), while partnering with pricing, underwriting, and engineering.
Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
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.
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