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Designs and maintains ML infrastructure and pipelines to deploy scalable, secure AI models for client projects, collaborating with data scientists and cloud teams.
You’ll source, screen, and hire AI/ML engineers in Poland for a tech recruitment firm, building pipelines and managing end-to-end hiring for AI roles across Europe and LATAM.
Build and maintain Databricks-based data pipelines and ML systems in Python/Java, deploying models to AWS and mentoring engineers on secure, scalable cloud practices.
Leads a 50+ engineer team to architect, scale, and modernize Albertsons’ data platform (lakehouse, Medallion, streaming) while embedding AI-driven automation (agentic AI, RAG, LLM integration) to accelerate engineering velocity and enable AI-ready data products for retail operations like supply chain, merchandising, and store operations.
Lead the design and automation of GCP-based MLOps pipelines to deploy, monitor, and scale Python ML models using Vertex AI, CI/CD, and IaC.
Build and deploy LLM-based AI agents and RAG systems to automate merchant communication for Rakuten’s ecommerce platform, using Python, PyTorch/TensorFlow, and cloud MLOps.
Build and run the Kubernetes-based infrastructure that powers Fronius’s AI systems, including LLM serving, MLOps tooling, and CI/CD pipelines.
Build and ship production-grade AI systems (LLMs, predictive models, automation) for Zalora’s e-commerce platform, integrating with BigQuery, dbt, and Airflow.
Build and deploy AI/ML models to drive business insights for Gartner’s research products, using Python, SQL, and Spark to analyze client retention, demand, and operational efficiency.
Design and govern scalable data architectures using Microsoft Fabric, Azure Synapse, and Power BI to modernize legacy systems and enable AI-driven analytics for public-sector clients.
Build and improve AI-powered financial software using Python, LLMs, and enterprise-scale AI/ML solutions to enhance customer experiences and business capabilities.
Builds data pipelines and ML models (NLP, LLMs, RAG) to process financial data, automate analytics, and enhance AI workflows using Python, cloud platforms, and MLOps practices.
Design and operate large-scale distributed systems and Kubernetes-based infrastructure for a mobile ad-tech platform, driving GitOps/ArgoCD adoption and MLOps tooling to support tens of billions of daily events.
Build and deploy AI/ML models for global clients, leading projects from design to production using Python, SQL, and MLOps tools.
Build and deploy agentic GenAI solutions on AWS using SageMaker, Terraform, and MLOps practices for a leading enterprise.
Engineer security controls and automation for AI/LLM systems, including prompt handling, RAG pipelines, and AI DLP, using Python and SOAR tools.
Build and deploy LLM, RAG, and agentic AI systems using LangChain, LangGraph, and vector databases, shipping production-ready solutions on AWS/GCP/Azure.
Principal Data Scientist at Walmart leading end-to-end AI system design, autonomous agent development, and production ML deployments using PyTorch, LangChain, and multi-cloud platforms.
Lead AI/ML engineer at JPMorganChase building secure, scalable ML systems for home lending servicing, including pipelines, inference, monitoring, and MLOps while driving adoption of enterprise AI-assisted engineering practices.
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