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AI Engineer
Build and deploy AI/ML models for mining, logistics, and corporate use cases using Python, Databricks, and cloud tools to drive safety, productivity, and automation.
Machine Learning Engineer
Senior DevOps ML Engineer builds and runs AI platforms, splitting time between GPU-accelerated Kubernetes, backend services, and MLOps to productionize LLMs and digital avatars.
AI Engineer
Build and deploy AI systems using Python, RAG, and Agentic AI frameworks like LangChain on AWS cloud services.
Principal Data Engineer
Lead the architecture and delivery of Medibank’s next-gen cloud-native data platforms, Databricks lakehouse, and AI/ML enablement while mentoring engineering teams and setting enterprise standards.
Lead Data Engineer
Lead hands-on data engineering to build scalable pipelines and reusable datasets on a modern AI platform, enabling customer-centric AI/ML use cases and ensuring a single source of truth.
Data Engineering & Innovation Lead
Lead the design and implementation of a modern cloud-native data and AI platform for a large healthcare provider, integrating real-time IoT, generative AI, and self-service analytics to transform patient care and operational efficiency.
Senior Data Engineer - Azure
Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Staff Data Engineer: Scalable Pipelines & Data Products
Designs and builds scalable data pipelines and reusable data products for analytics at a major Australian bank, ensuring trusted, analytics-ready data.
Staff Data Engineer
Senior role building scalable data pipelines, semantic layers, and automated analytics workflows in Python/SQL for a major bank’s trusted data products and dashboards.
Principal Data Engineer
Lead the technical vision for Medibank’s next-gen data platforms, designing scalable Databricks lakehouse architectures and AI/ML enablement while mentoring engineering teams.
Staff Data Engineer: Scale Pipelines & AI Ops
Design and scale data pipelines, ontologies, and MLOps for analytics-ready datasets and automated data lifecycles in a large fintech company.
Staff Data Engineer
Senior role building scalable data pipelines, semantic layers, and automated analytics for dashboards using Python, SQL, and big-data tech while ensuring data quality and governance.
Director - GenAI & Agentic AI Practice (Azure AI / AWS AI)
Lead Happiest Minds’ GenAI & Agentic AI practice, building Azure AI or AWS AI solutions, driving growth, pre-sales, and enterprise delivery with frameworks like LangGraph and CrewAI.
Project Manager (AI)
Leads AI/ML projects from planning to deployment, coordinating between business stakeholders and technical teams to deliver generative AI, data science, and analytics solutions on time and within budget.
Senior AI/ML Engineer
Build and deploy scalable AI/ML systems, including LLM pipelines, RAG, and MLOps tooling, to production for a global lifestyle brand.
Senior Engineer - DevOps
Build and maintain cloud infrastructure, CI/CD pipelines, and reliability for AI systems using AWS, Terraform, and GitHub Actions.
Remote Senior Data Engineer - ML Platform & MLOps Lead
Senior Data Engineer builds cloud-native data platforms and MLOps pipelines, enabling AI/ML model deployment and analytics across AWS, GCP, and Azure.
Consultant(e) Confirmé / Senior – Data Engineer / ML Engineer
Senior Data Engineer/ML Engineer designs, deploys, and maintains scalable ML models and MLOps pipelines for enterprise clients, using Python, SQL, Spark, and AWS.
Senior Data Engineer & ML Engineer — Production ML Expert
Design, deploy, and scale production ML models for enterprise clients, owning the data platform, MLOps practices, and model lifecycle governance.
Data Engineer IA & GenAI – AWS, Lakehouse & MLOps
Design and deploy robust AWS-based data pipelines and Lakehouse architectures for analytics and governance, integrating Snowflake and supporting GenAI/MLOps initiatives.