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Senior Analytics Engineer
Build and maintain data pipelines, SQL models, and AI workflows for mobile games, enabling analytics teams to optimize player experience and game growth using Python, Airflow, and modern data warehouses.
Senior Analytics Engineer
Build and maintain scalable data pipelines, AI-powered workflows, and cross-game analytics tools using SQL, Python, and Airflow to drive player engagement and game growth.
Senior Data Engineer
As a Senior Data Engineer at Truecaller, design and build scalable data pipelines and infrastructure for Smart SMS features (e.g., categorization, fraud detection) using Spark, Scala, Python, and GCP, collaborating with Data Scientists and Product teams to deliver reliable datasets for millions of daily users.
Senior ML Engineer
Senior ML Engineer at Truecaller will optimize ML model training and deployment, focusing on mobile platforms, and collaborate with teams to establish best practices. Core technologies include TensorFlow, PyTorch, ONNX, and mobile ML frameworks like TensorFlow Lite and Core ML.
Senior Data Platform Engineer
Senior Data Platform Engineer at DigiCert designing, building, and operating foundational data and ML infrastructure on Databricks, using Python, SQL, and Spark to power analytics and machine learning across the organization.
Staff Data Scientist, Pricing
Staff Data Scientist focused on building pricing models — demand/elasticity modelling, ML-based demand forecasting, and optimization layers that recommend prices — for Airalo's eSIM travel product using Python and SQL.
Data Scientist
Data Scientist building end-to-end predictive ML models—from Snowflake data exploration through AWS SageMaker deployment—to drive customer retention, marketing strategy, and growth for a Dutch lottery that funds charities.
Senior/Lead Data Scientist (Credit Risk)
Senior/Lead Data Scientist focusing on credit risk modeling and measurement for a fintech company. The role involves developing and maintaining credit risk models, conducting experiments, and collaborating cross-functionally using Python and SQL.
[EAF] Senior Data Science Engineer
Build and deploy ML models, design data pipelines, and create dashboards to turn large datasets into business insights using Python, R, and modern AI frameworks.
Data Scientist - IP (on contract)
Develops AI-driven solutions, REST APIs, and data pipelines for patent/scientific data; builds LLM-powered tools and automates workflows for innovation and competitive insights.
Data Scientist - Quantium Telstra
Builds and deploys AI/ML models for Telstra’s operational systems, translating data into actionable business insights. Focuses on feature engineering, model development, GenAI integration, and end-to-end solution design with cross-functional teams.
Data Engineer - Machine Learning - madrid
Build and maintain scalable PySpark data pipelines and ML models using AWS, SageMaker, and MLflow for a banking analytics project.
Senior Data Scientist / AI/ML
Overview We are looking for a seasoned in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on delivering AI-driven analytics solutions across Marketing, Sales, Medical…
Senior Data Program Manager
Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition…
Senior AI Engineer
Senior AI Engineer designing and deploying ML/DL models and LLM-based solutions for healthcare and business use cases, using Python, PyTorch/TensorFlow, NLP libraries, Docker, and cloud platforms.
Data Scientist / MLOps Engineer - 100% teletrabajo
Data Scientist/MLOps Engineer developing ML models, feature engineering, and maintaining data/training pipelines. Works with Spark, SQL, FastAPI, and Python to deploy models as APIs and optimize performance in a remote role.
Data Engineer - Machine Learning - Ayesa Digital
Builds scalable data pipelines with PySpark/SQL for banking analytics, integrates ML models (SageMaker) into production, and ensures MLOps best practices for feature engineering, training, and deployment.