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AI HPC Infrastructure Engineer
Maintains and optimizes a hybrid HPC/AI Linux cluster with GPUs, scheduling tools (SLURM/Kubernetes), and MLOps pipelines to support large-scale model training and inference for researchers.
Principal Software Engineer, MLOps
Build and deploy GPU-accelerated computer-vision pipelines for underwriting models using Hugging Face, FastAPI, Kubernetes and AWS; own CI/CD, code quality and mentoring.
Senior Cloud Software Architect
Design and lead a cloud-native platform on Azure/Kubernetes for inspection services, setting standards and enabling AI-driven automation with CNCF, MLOps, and IaC.
Data Scientist
Design and deploy machine-learning models to drive digital transformation and deliver measurable business impact in an industrial energy-tech company.
Principal Data Platform Product Manager
Lead the product vision for a data platform serving drug discovery, pre-clinical and clinical workflows in a biopharma company, bridging scientists, engineers and compliance teams.
AI Engineer (AI Accelerator Program)
Build and deploy AI-driven healthcare applications, including LLMs and generative AI, by developing data pipelines, training models, and deploying solutions on cloud platforms like GCP/AWS/Azure.
Senior Machine Learning Engineer
Build and maintain production ML systems for ecommerce personalization, ranking, and recommendations using Python, GCP, and Java, owning the full lifecycle from data to serving.
Data Science Director
Lead a data-science team that builds ML and optimization models to run Ocado’s automated warehouses and delivery networks, moving research into large-scale production systems.
Associate Director, Data Science & AI Solutions
Lead the design and deployment of AI and data-science solutions (RAG, agentic workflows, ML, simulations) for pharmaceutical R&D quality oversight, ensuring compliance and scalability while translating technical concepts for business stakeholders.
Senior Secure AI Architect & Solutions Leader
Designs and deploys secure, production-grade AI solutions for enterprise and government clients, leading architecture, governance, and MLOps while expanding service offerings.
DevOps Engineer
Build and scale Intel’s data infrastructure, telemetry pipelines, and analytics for Xeon server fleets using Python, Kubernetes, Azure, and CI/CD.
Machine Learning Operations Engineer
Build and maintain automated ML training, evaluation, and CI pipelines for an AI-driven defense autonomy stack, enabling reproducible model development and deployment.
Senior Machine Learning Engineer (Platform / MLOps)
Build and scale ML infrastructure for aerial imagery AI at Nearmap, including batch inference, real-time serving, and LLM platforms on AWS/GCP, while owning reliability and developer tooling.
Senior Machine Learning Engineer, Platform / MLOps
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery analytics and generative AI products, including real-time model serving, GPU training, and LLM platforms on AWS/GCP.
Lead Software Engineer, AI/ML
Lead AI/ML engineer at Nike building scalable prediction and optimization models in Python on AWS, mentoring teams, and owning ML solutions from conception to production.
Principal Machine Learning Engineer
Principal AI/ML Engineer at Nike builds and deploys scalable ML and generative AI solutions in Python on AWS, leading end-to-end projects from modeling to production.
Software Engineer, Machine Learning Infrastructure
Build and deploy ML infrastructure, APIs, and data pipelines; maintain GPU resources and MLOps tooling to productionize audio models.
Senior Data Scientist
Build and deploy AI/ML models on Azure using Python, SQL, and MLOps to generate business insights and predictive forecasts for enterprise clients.
Senior Software Developer
Lead a team building AI-driven .NET and Python applications on Azure, integrating CRM and supply-chain systems with Azure AI services and MLOps tooling.
Solutions Architect - Data, Analytics, and AI
Designs and implements enterprise-scale data, analytics, and AI solutions for public-sector and infrastructure projects, integrating platforms like Databricks/Snowflake with cloud services and LLMs.