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Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
Data Engineer (Spark) @ Addepto
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
Data Engineer (AI/ML)
Build and automate predictive models, ETL pipelines, and monitoring systems using Python, Databricks, and Azure to power AI-driven marketing analytics and campaign optimization.
Data Engineer (K/M)
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Senior Data Engineer
Build and scale streaming/batch data pipelines and anomaly detection models on Azure and Databricks for a European renewable-energy company.
Senior Data Engineer
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Senior DevOps Engineer (Insurance Data Platform) | f/m/d
Design, automate, and maintain cloud infrastructure and CI/CD pipelines for an insurance-focused data platform using AWS, Terraform, and Azure DevOps.
DevOps/MLOps Engineer
Senior DevOps/MLOps Engineer builds and scales production-grade ML pipelines for large-scale medical image analysis, using Python, Docker, Kubernetes, and MLOps tools like MLflow.
Data Engineer
Build and maintain scalable data pipelines and platforms using Azure, Databricks, PySpark, and Python to enable analytics and AI workloads.
Data Scientist
Build and deploy ML models, predictive analytics, and data pipelines using Python, SQL, and cloud tools to drive business decisions and user experience improvements.
DevOps/MLOps Engineer
Build and scale production-grade ML pipelines for medical image analysis, deploying models with Kubernetes and MLOps tools like MLflow while collaborating with data scientists and engineers.
Senior AI Engineer - AI Platform & ML Engineering
Build and maintain the AI/ML platform that turns experimental models into production-grade, governed solutions using Databricks, AWS, MLflow and MLOps practices.
AI ML Architect
Designs and advises on end-to-end AI/ML and Gen AI architectures, integrating LLMs, RAG systems, and MLOps for scalable enterprise solutions.
Senior Data Scientist
Build and deploy end-to-end data science systems for forecasting, optimization, pricing, and recommendation pipelines in a fast-paced, startup-style environment within a large gaming and lottery tech company.
Lead AI/ML Data Scientist - VP
Lead AI/ML model development for enterprise-scale financial reconciliation, deploying Agentic AI and LLMs to optimize global banking operations and risk processes.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Lead Data Scientist
Lead a team of data scientists to build ML models that classify and sort recycled plastics in real time using spectral sensor data and deep learning.