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Develop AI-driven applications in Python, integrating ML frameworks like TensorFlow/PyTorch and optimizing performance for scalable systems.
Analyze hospitality and venue data to build dashboards, track KPIs, and generate insights using SQL, BI tools, and Python.
Lead end-to-end ML/AI projects for IoT and smart city analytics, building predictive models from sensor data to optimize urban infrastructure and mobility systems.
Builds and maintains data pipelines using Python, SQL, and cloud tools like AWS or Databricks to move and integrate data at scale.
Data Analyst & QA Engineer builds and tests data pipelines, profiles datasets, and turns validated data into clear insights for life-sciences projects using Python, SQL, and Power BI.
Build and deploy machine-learning models using Python, Scikit-learn, PySpark, and Databricks for clients in IT consulting and pharma.
Build and deploy ML models, LLMs, and AI agents using Python, MLOps, and cloud platforms (Azure/AWS) for enterprise clients.
Build and deploy scalable data-labeling solutions for AI models, working with customers and translating needs into technical configurations using Python.
Build and maintain an insurance-focused data warehouse, automate ETL pipelines, and create Power BI dashboards to track claims, conversion, and retention KPIs.
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Build and maintain automated data pipelines in Python and GCP, cleaning and validating large datasets while integrating Google Sheets, BigQuery, and APIs.
Build and optimize large-scale data pipelines for aerospace and defense clients using Python, Spark, and PostgreSQL on Cloudera/Hadoop clusters.
Build and deploy ML models and agentic systems to improve clinical trial success rates using Python, FastAPI, TensorFlow/PyTorch, and AWS.
Develop and maintain MATLAB/Python-based analysis tools for aerospace test data, integrating mathematical models for avionics, performance, and systems testing across Airbus programs.
Develop and maintain aerospace test-analysis software in MATLAB/Python, migrating legacy tools to a new Time Series Analysis Platform while collaborating with engineering teams.
Build and maintain Python backend services, handle authentication, batch processes, and data pipelines using Pandas/NumPy while integrating third-party APIs.
Build and deploy data-driven solutions using Python, ML, and Azure to optimize building systems and sustainability for Johnson Controls' smart-city and decarbonization products.
Build and evaluate data-driven solutions for smart buildings and climate tech using Python, Azure ML, and SQL; track impact with attribution methods.
Builds and optimizes data pipelines and ETL processes using SQL, SSIS, Python, and cloud tools to support e-commerce inventory and sales operations for a major fashion retailer.
Senior Data Scientist builds demand-forecasting models for a Polish entertainment network, integrating sales history with external signals and engineering data pipelines in Python and SQL.
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