Tech jobs
Job listings
Data Science Engineer (AWS) (B2B)
Builds data-driven solutions on AWS, engineering features and analytical workflows to turn datasets into business insights and scalable pipelines.
Data Science Engineer (AWS)
Builds data-driven solutions on AWS, engineering features and analytical workflows to turn datasets into insights and scalable pipelines.
AWS Data Science Engineer — Analytics & Pipelines
Builds AWS-based data pipelines and analytical workflows, engineering features and turning large datasets into actionable insights for business decisions.
Data Science Engineer — AWS Analytics & Data Pipelines
Builds AWS-based data pipelines and analytics solutions, engineering features and end-to-end workflows to turn raw data into business insights.
Remote Ai/Ml Software Developer- Jcc2-Jco
Develop, train, and integrate AI/ML models for government systems using Python, TensorFlow, and PyTorch, ensuring compliance with DoD cybersecurity and responsible AI policies.
Data Scientist
Build predictive models and A/B tests in Python/SQL to drive retail decisions, collaborating with analysts and engineers to turn data into actionable business insights.
Senior AI Solutions Engineer
Designs, builds, and deploys AI/ML models for industrial use cases like predictive maintenance and computer vision, using Python frameworks and cloud platforms.
Data Scientist
Build predictive models and A/B tests in Python/SQL to guide pricing, inventory and marketing decisions for a global fashion retailer.
AI engineer II
Build and deploy production-grade AI/ML services for Mastercard’s payments systems, collaborating with data scientists and engineers to ship reliable, scalable features.
Data Engineer
Design and build a scalable data platform and analytics suite using Python/Scala, Spark, Hadoop, and cloud tools to power APIs and insights for customers.
Data Engineer
Builds and maintains robust data pipelines using Python/Scala, Spark, Hadoop, and SQL to enable reliable data products and analytics workflows.
Lead Data Engineer – AI & Foundation Models
Lead a team building scalable data pipelines and feature stores to power AI model training and inference at Mastercard, ensuring high-quality, governed data for foundation models and downstream AI use cases.
Data Scientist
Build and fine-tune ML models (regression, forecasting, classification) and LLM applications using Python, Databricks, and Azure AI Foundry; drive insights with PySpark/SQL and champion MLOps with MLflow.
Machine Learning Engineer
Design and implement ML models using Python and libraries like TensorFlow/PyTorch to analyze data and improve product performance.
Data Scientist: AI Solutions for Growth
Build AI models to solve business problems and drive growth at a Philippine bank, using data exploration and machine learning.
AI/ML Data Scientist for Business Decisions
Design and implement AI/ML frameworks to support business decision-making using Python or R, statistics, and model evaluation.
Data scientist
Build and deploy ML/AI models to extract insights and predict outcomes from large datasets using Python/R, then integrate them into business processes.
Senior data scientist
Leads ML model development and advanced analytics to drive business decisions, building predictive models and mentoring junior data scientists.
Senior data scientist
Senior data scientist builds and deploys ML models on Azure Databricks for a healthcare analytics project, engineering pipelines and delivering predictive insights in a cloud environment.
Data Scientist - Machine Learning and Generative AI - Full Time
Design, build, and deploy machine learning and generative AI models for enterprise clients, focusing on natural-language analytics, cloud platforms, and production workflows.