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System Engineer – Data Science (m/w/d)
Design and build scalable AI/data-science architectures (LLMs, RAG, ML) in cloud and on-prem, then advise customers and implement solutions in Python, Azure ML, and Kubernetes.
AWS Data & AI Engineer at Noventiq WLL
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
ML Ops & Data Scientist – Production Pipelines (Hybrid)
Design and deploy production-ready data pipelines and ML solutions in Python and SQL, collaborating with teams to turn analytical insights into scalable assets.
Poland | Data and MLOps Engineer 1 at Hatch
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
MLOps Engineer – Data Analytics Platform
Build and maintain ML pipelines using Airflow, MLflow, and GCP; migrate on-premise systems to cloud-native environments and ensure scalable, reliable data workflows.
Machine Learning Ops and Data Engineer · Gdańsk ·
Builds and maintains ETL pipelines, deploys ML models to production, and monitors data flows and model performance using Python, SQL, and Azure.
Senior Data Engineer (Databricks) @ Addepto
Design and optimize scalable data pipelines using Databricks, Apache Airflow, and Spark to process streaming and batch data for enterprise clients across industries like aerospace, energy, and automotive.
Machine Learning Ops and Data Engineer
Builds and maintains ETL pipelines, deploys ML models to production, and monitors data and model performance using Python, SQL, Azure, and Docker.
Data Engineer (Databricks) @ Addepto
Build and optimize scalable data pipelines using Databricks, Spark, and Azure to power AI/ML solutions for global enterprises across aerospace, energy, and automotive sectors.
SAS Viya Platform Engineer — DevOps & Automation
Administers SAS environments (SAS 9 and SAS Viya), configures components, and supports model deployment for ING’s analytics teams.
Senior Data Engineer
Build and maintain ETL/ELT pipelines in Python/SQL, optimize Snowflake queries, and run Airflow workflows to turn raw freight sensor data into analytics and ML features for a logistics intelligence platform.
Senior Data Engineer
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Machine Learning Engineer
Build and deploy AI-powered HR and finance systems using LLMs, RAG, and agentic AI to deliver scalable ML solutions and APIs for millions of users.
Full stack AI Developer
Build and deploy AI applications using open-source tools, Azure AI Foundry, and Databricks, integrating with MLOps pipelines and REST APIs.
Senior Software Engineer (Full Stack + Data)
Build full-stack web apps and data pipelines for an online furniture retailer, using React, Node.js, Python, and cloud services like AWS and Databricks.
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.
Machine Learning Engineer
Build and deploy ML models (PyTorch/TensorFlow) for computer vision and generative AI to enhance cinematic pipelines and theatrical experiences in the entertainment industry.
AI Infrastructure / MLOps Engineer
Build and maintain ML pipelines, annotation systems, and simulation for robot autonomy models, deploying models to edge devices like Jetson and ARM.
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.