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DevOps Engineer
DevOps Engineer to design, deploy, and maintain AI infrastructure using Kubernetes, Docker, and LLMOps tools like Ollama and LangChain, ensuring scalable, secure systems for logistics and industrial clients.
DevOps Engineer
DevOps Engineer building and scaling AI infrastructure (LLMOps) with Kubernetes, Docker, and NVIDIA CUDA on Linux, automating deployments and integrating Python/Java services.
GenAI Engineer (Mid) (AI&Data)
Build production-ready GenAI and agentic AI systems for global enterprises using Python, LLM APIs, and cloud platforms like AWS/Azure/GCP.
Junior GenAI Engineer (AI&Data)
Build enterprise-grade GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and vector databases, then deploy them to cloud platforms for Fortune 500 clients.
Junior Machine Learning Engineer (Data Platform)
Build and maintain Allegro’s ML/AI platform, including MLOps pipelines, agentic workflows, and model-serving microservices using Python, PyTorch, Kubernetes, and GCP.
Data Engineering Consultant - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Data Engineer, Investment Services
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI/ML models.
Data Engineer, Investment Services
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI-driven investment workflows.
Data Engineer - Warsaw
Design and maintain scalable data pipelines in Databricks/AWS, process large datasets via Spark, and build web-scraping tools to feed AI-driven analytics and insights.
Machine Learning Engineer
Senior AI/ML engineer builds and deploys production-grade agentic AI systems using LangGraph, Python, and GCP for retail/loyalty applications.
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 Platform Engineer
Build and run a firmwide GenAI platform: design Kubernetes-native tooling, SDKs, and evaluation pipelines so teams can safely build, deploy, and govern enterprise-scale AI applications.
Principal AI Agent / ML Software Engineer (OCI)
Principal engineer defining and building next-gen AI agent platforms on Oracle Cloud Infrastructure, leading multi-team execution and hands-on design of scalable, secure, and cost-aware agentic systems.
Senior AI Engineer
Build and deploy production LLM-powered systems for healthcare, including RAG pipelines, agentic workflows, and evaluation frameworks while ensuring compliance and safety.
Senior Data Scientist Gen AI
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve financial-services problems like health analytics and operations modernization.
Machine Learning Engineer
Build and deploy scalable AI/ML and GenAI systems (LLMs, RAG, agents) on Azure/Snowflake, owning MLOps pipelines and production-grade AI services for a Canadian insurer.
Senior AI Engineer
Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
AI and Data - Manager - AI Platform Engineer
Design and run the AI platform infrastructure that powers EY’s GenAI and agentic AI solutions, including deployment pipelines, observability, and governance at enterprise scale.
Senior AI Engineer - Snowflake & Enterprise AI
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
AI Full stack Developer
Build and maintain AI-powered full-stack apps using LLMs, RAG, and vector databases, with React frontends, Python/Node.js backends, and cloud-native DevOps.