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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 DevOps/MLOps Engineer builds and scales ML pipelines for large-scale image analysis, collaborating with data scientists to ensure performance and compliance in regulated environments.
Lead the design and architecture of AMD’s next-gen data platforms, focusing on scalable AI/ML pipelines, lakehouse systems, and governance for high-performance computing workloads.
Architect and build scalable AI applications like conversational agents using Python, LLMs, and MLOps in a hybrid Kraków office.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
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.
Senior Data Engineer builds, optimizes, and maintains high-volume data pipelines in GCP and on-prem using Python, PySpark, ETL tools, and Rust for performance-critical components.
Senior DevOps Engineer builds and maintains CI/CD pipelines, Kubernetes clusters, and MLOps workflows for an AI-focused platform, using Jenkins, Ansible, and observability tools.
Build and maintain CI/CD pipelines, Kubernetes clusters, and MLOps workflows for AI platforms using Jenkins, Ansible, and observability tools like Prometheus and Grafana.
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.
Lead the design and deployment of generative AI and agentic AI systems for healthcare, including LLMs, RAG, and AI agents, while ensuring responsible, scalable, and compliant solutions.
Build ML models and predictive analytics for insurance pricing, underwriting, and claims to improve loss estimates and customer outcomes using Python, SQL, and cloud platforms.
Build and deploy generative AI models for financial services using Python, Azure, and LLMs to drive business value and mentor teams on MLOps.
Lead a team to build AI-driven security automation platforms, including agentic workflows and RAG systems, to enhance threat detection and response for a global financial firm.
Build and maintain the AI/ML platform that turns experimental models into production-grade, governed solutions using Databricks, AWS, MLflow and MLOps practices.
Principal Software Engineer builds and scales AI-driven systems and full-stack apps in Go/Python, mentors engineers, and collaborates with global clients on high-impact projects.
Build and deploy ML models (PyTorch/TensorFlow) for computer vision and generative AI to enhance cinematic pipelines and theatrical experiences in the entertainment industry.
Build and maintain ML pipelines, annotation systems, and simulation for robot autonomy models, deploying models to edge devices like Jetson and ARM.
Presales role where you demo and scope AI solutions for industrial clients, focusing on energy optimization, predictive maintenance, and digital transformation using tools like RapidMiner and Siemens platforms.
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
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