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Staff Data Engineer
Senior data engineer building scalable, secure pipelines and trusted data products for analytics and dashboards using Python, SQL, and distributed systems at a major Australian bank.
Pre-Sales Solution Architect, AI Infrastructure (Remote)
Pre-sales role designing and evangelizing Kubernetes-based AI infrastructure for enterprises, focusing on Mirantis k0rdent and AI/ML deployment pipelines.
Data Engineer
Build and maintain data pipelines and workflow automation using Python, SQL, Airflow, Databricks, or Azure Data Factory for a client’s data engineering needs.
Senior Data scientist (Risk)
Build and deploy ML models to assess credit risk, detect fraud, and optimize collections for a BNPL fintech service.
Data & MLOps Engineer (Mid-level) m/f
Build and maintain production-grade data pipelines and MLOps workflows, containerize workloads, and deploy scalable ML services in Azure/AWS.
Lead Software Engineer
Lead hands-on engineering role building and deploying production-grade AI applications (copilots, agents, RAG pipelines) for a global asset manager, while coaching a new AI team.
Senior Software Engineer
Build and deploy production-grade generative AI systems for Capital Group’s investment process, including RAG pipelines, agents, and copilots, while ensuring responsible AI, security, and cost controls.
Тимлид Data Science/ML
Team lead for AI/ML projects: organizes DS/ML teams, sets LLM pipelines (RAG, fine-tuning), translates business needs into technical tasks, and ensures model quality and deployment in production.
Senior DevOps/Cloud Platform Engineer (AWS| Kubernetes|AI Infrastructure)
Build and maintain secure, scalable AWS and Kubernetes platforms for AI workloads, including LLM inference, while automating CI/CD and ensuring SOC 2/HITRUST compliance.
Senior AI/ML Engineer
Designs, trains, and deploys ML models with MLOps, builds evaluation pipelines, and integrates generative AI for explainability in a product-focused team.
Консультант Data Science / Advanced Analytics в Arthur Consulting
Data scientist building predictive models, optimization systems, and recommendation engines for large EAEU firms, using Python, SQL, and modern AI tools.
DevOps Engineer
Own and operate a legacy on-prem application portfolio for an insurer, automating deployments with Jenkins/GitHub Actions, monitoring with Dynatrace and AI-driven anomaly detection, and hardening security across Linux, WebSphere, and nginx.
Data Scientist/AI Engineer -(h/f)
Develops and maintains ML models for dynamic pricing of ancillary travel services (seats, baggage, upgrades) using GCP tools like BigQuery and VertexAI, while building and optimizing MLOps pipelines.
Software Engineer
Senior Software Engineer builds and maintains PayPal’s ML infrastructure and model lifecycle systems to power risk-management features at scale.
Data Engineering and AI Manager
Lead a team of ~7 data and AI engineers to build and scale enterprise data platforms (Snowflake, dbt, Fabric) and MLOps pipelines, ensuring reliable AI/ML integration and robust data governance.
Staff AI Data Engineer
Lead the design and deployment of scalable AI/GenAI solutions and petabyte-scale data platforms, from ingestion to production, using cloud, Spark, Databricks, and Snowflake.
Middle Python / MLOps Engineer
Build and scale FastAPI-based REST services, set up CI/CD, and deploy ML models in a high-load ecommerce environment using Python, Kubernetes, and MLOps tooling.
Senior /Staff AI Engineer, Computer Vision
Lead the design and deployment of AI-driven computer vision systems for identity verification, fraud detection, and security at a global crypto exchange, using PyTorch/TensorFlow and multimodal models.
Team Lead Data Scientist
Leads a team of data scientists to design, build, deploy, and monitor ML models end-to-end, bridging business needs with technical execution in a fintech environment.