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Software Engineer, ML Platform
Build and scale Gusto’s ML/AI platform, designing MLOps pipelines, feature stores, and deployment frameworks to enable reliable, scalable AI services for internal teams.
Data Engineer
Designs and builds scalable data pipelines and warehouses on GCP for supply chain and real estate operations, enabling AI/ML use cases like RAG and predictive analytics.
Principal Software Engineer
Principal Software Engineer builds and leads Microsoft’s AI-driven auto-bidding platform for real-time ad auctions, optimizing bids at scale using machine learning and distributed systems.
Machine Learning Engineer
Build and maintain scalable Model Monitoring solutions in Python/PySpark on Databricks, tracking data drift, model performance, and triggering retraining pipelines.
Staff Machine Learning Engineer - Game Tech Group, ML Platform
Architect and scale ML infrastructure for game AI systems, focusing on model serving, orchestration, and deployment workflows to move models from experimentation to production reliably.
Senior AI/Computer Vision Engineer
Build and deploy AI/computer-vision systems end-to-end, from data pipelines and model training to C++ edge integration and production validation.
AI Architect (LLM, GenAI & Azure)
Design and build enterprise-scale AI platforms using LLMs, RAG, and Azure, focusing on production-grade GenAI architectures and MLOps.
AI Engineer (GenAI, LLM & Azure)
Build and deploy end-to-end AI applications using LLMs and GenAI on Azure, from concept to production, collaborating with business and data teams.
AI Cloud Architect
Design enterprise-grade AI and generative-AI architectures on AWS/Azure/GCP, translating business goals into scalable, secure cloud solutions that integrate LLMs, RAG, MLOps and responsible-AI practices.
Data Scientist
Build and deploy ML models in Azure to extract insights and drive decisions using Python and cloud data tools.
Data Engineer
Design and build scalable ETL pipelines, MLOps workflows, and microservices in AWS using Python, Spark, and Kubernetes to support Zurich’s insurance and AI products.
MLOps Engineer
Build and maintain the MLOps infrastructure for a large European online marketplace, automating ML workflows and deploying scalable AI systems in production.
Senior Data Infrastructure Engineer, AI Compute Platform
Build and maintain the AI compute and data infrastructure for training and fine-tuning large-scale models, including storage systems and secure data access pipelines.
Hybrid Data & AI Engineer — Modern ML & Growth
Design, develop, and deploy AI/ML solutions using Python, SQL, and ML frameworks across the full lifecycle, collaborating on cloud-based AI products with Azure, AWS, or GCP.
Senior Data Science Engineer — MLOps & Impact Lead
Leads end-to-end MLOps for production-grade NLP and recommender systems, mentoring junior engineers and collaborating with cross-functional teams to deliver data-driven solutions for public and private sectors.
Data & ML Platform Engineer
Build and maintain scalable data pipelines, ML infrastructure, and MLOps workflows on Google Cloud to power Tekever’s AI-driven surveillance and decision-support systems.
DevOps & IoT Platform Engineer: Cloud, Data & ML
Builds and maintains cloud and IoT infrastructure, automates deployments, and ensures reliability for connected industrial products with a path into MLOps.
Data & ML Engineer - Newcastle
Build and deploy scalable data pipelines and ML models using Python, Spark, and cloud tools; integrate diverse data sources and ensure production-grade MLOps and governance.
Senior Data Science Engineer
Lead data-science engineering projects for public and private-sector clients, building scalable ML pipelines and recommender systems in Python and cloud tools like AWS SageMaker.
Senior Data Platform Engineer
Build and scale Depop’s data platform, enabling teams to own, process, and query data efficiently using Databricks, Airflow, dbt, and cloud-native tools.