Tech jobs
Job listings
Data Scientist - Pipelines, Dashboards (Istanbul)
Build and maintain data pipelines, clean datasets, and create dashboards to extract insights from logistics operations using Python, SQL, and Airflow.
R&D Engineer 'Applied Data Science'
Build and deploy ML models for fraud detection, anomaly detection, and time-series forecasting, taking them from R&D to production in a full-stack engineering role.
Data Scientist — ML/AI Systems & Python Engineer
Builds and deploys ML models in Python using TensorFlow/PyTorch and Scikit-Learn, focusing on AI system engineering for a specialized AI company.
Machine Learning Engineer / Data scientist
Build and deploy ML models for anomaly detection, forecasting, and classification in aerospace systems using Python/MATLAB and PyTorch/Keras.
Data Scientist/ML Engineer (Rif. 2026-55)
Build and deploy ML models, GenAI use cases, and predictive analytics for a major bank using Python, SQL, and MLOps tools.
Data Scientist / AI Engineer
Build and deploy ML/AI models in Python (scikit-learn, PyTorch/TensorFlow) for enterprise use cases, from data prep to production, working with SQL databases and collaborating with cross-functional teams.
Freelance Data Science Engineer (Python & SQL)
Design and solve complex, real-world data science problems in Python and SQL to train and improve generative AI models for diverse industries.
Data Scientist & AI Engineer
Build and deploy AI models using Python, PyTorch, and Hugging Face; develop generative AI and NLP solutions with FastAPI and OpenAI integrations.
Data Scientist&Engineer
Design and build real-time data pipelines and ML models on Microsoft Fabric to analyze shipping logistics data, using Python, PySpark, and Azure services.
AI Engineer (Full-Stack AI)
Build, train, and deploy ML/DL models; integrate AI into software products; manage data pipelines and monitor production performance.
Data & Analytics Engineer
Builds and maintains data pipelines, KPIs, and BI dashboards on Databricks, integrating AI-driven analytics for a 2.5M-customer platform.
Data & Analytics Engineer
Build and maintain data pipelines and analytics for mobility datasets using Python, SQL, and Databricks; validate data quality and deliver insights to clients.
Python Data Engineer - Remote, Growth & Cloud Skills
Build and optimize Python-based data solutions using Pandas, NumPy, and SQL to support financial industry workflows.
Python Data Engineer — Pandas, Jupyter & Excel
Builds and cleans data pipelines using Python, Pandas, and Jupyter; analyzes data in Excel with Power Pivot and Power Query.
Data Engineer - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines and AI-ready data foundations for cutting-edge AI systems, including LLMs and agentic architectures, while collaborating with cross-functional teams.
Energy Data Engineer - Collaboratori P.IVA
Energy Data Engineer builds ML models and digital twins to optimize building energy use, analyzing HVAC data and creating dashboards for efficiency improvements.
AI & Data Engineer
Builds and maintains ETL pipelines, trains ML models, and deploys them on Databricks using PySpark, Python, and cloud services.
Data Engineer - Python
Build and maintain Python scripts and Jupyter notebooks to process, analyze, and report fashion-industry data, collaborating with clients to extract and transform data from multiple sources.
Senior Data Engineer
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.