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Cloud DevOps SME - Azure, AWS, GenAI
Design and implement cloud infrastructure, CI/CD pipelines, and GenAI solutions using Azure, AWS, Python, and Kubernetes.
Data Scientist Specialist
Design and deploy scalable AI/ML systems, including generative AI solutions with RAG and embeddings, to solve complex business problems and drive measurable impact.
AI / MLOps Engineer
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
Senior Data & AI Presales Engineer - AWS FDE
Senior presales engineer embedded with clients to design AWS-based AI/data solutions, build live demos and prototypes, and co-pilot deals—focusing on GenAI, ML models, and cloud-native apps.
Data Science and AI Engineer
Designs and deploys ML, predictive analytics, and GenAI solutions using Python, LLMs, RAG, and agentic AI to drive business growth and optimize operations.
Lead Data Platform Engineer - Cloud and ML Ops
Lead the design, automation, and operations of StarHub’s cloud data platform using AWS, Snowflake, and SageMaker to support scalable AI and analytics workloads.
Principal Data Platform Engineer
Lead and scale StarHub’s cloud data platform (AWS, Snowflake, SageMaker) to ensure reliability, security, and innovation for enterprise data and AI workloads.
Senior Executive/Assistant Manager (Data Analytics Engineer), AIO Innovation Office (Contract)
Build and maintain analytics-ready datasets, validate data quality, and support dashboards using SQL and BI tools like Spotfire/Tableau for a healthcare organization.
Senior Data Engineer
Design and maintain scalable data pipelines and lakehouse/warehouse architectures to power analytics, dashboards, and AI models, automating ETL workflows and enabling MLOps.
Data Engineer
Designs and maintains scalable data pipelines and cloud infrastructure to power analytics and AI use cases for Razer’s gaming ecosystem.
Full Stack Engineer (AI & Cybersecurity)
Build secure, cloud-native apps and AI-enabled platforms for government digital and cybersecurity initiatives using Python, Terraform, and CI/CD pipelines.
Full-Stack Engineer (Data Programme) - A26107
Build and maintain full-stack data infrastructure for Singapore’s education sector, integrating cloud services, ETL pipelines, and analytics tools to support AI-driven digital transformation.
Python Developer AI Systems, LLMs & RAG
Build and optimize Python-based AI applications using LLMs, RAG, and vector databases to power enterprise-grade intelligent automation for healthcare and other industries.
Data Engineer - Factory Barcelona
Senior data engineer building ETL pipelines and data architectures using SQL/NoSQL, Fabric, AWS Glue/EMR, and Databricks, with optional MLOps and Azure exposure.
DevOps Engineer – AI/GenAI Platform (AWS)
Build and maintain AWS infrastructure for a generative-AI platform, automating GenAI workloads with Terraform, Python, and CI/CD pipelines while enforcing security and collaborating with data-science teams.
Data Engineer - Semi SR (Ciudad de México, Miguel Hidalgo)
Builds and maintains end-to-end data pipelines in Scala/Spark/Python on the ADA platform to power retail banking analytics and customer-facing features.
Data Engineer - Semi SR (Ciudad de México, Miguel Hidalgo)
Build and maintain end-to-end data pipelines in Scala/Spark/Python on the ADA platform to power BBVA’s retail banking analytics and customer-facing features.
Data Engineer - Big Data Pipelines & AWS (Hybrid)
Designs and builds end-to-end big-data pipelines in Scala, Spark or Python on AWS for BBVA’s Datahub, supporting analytics and ML workloads.
Senior Data Engineer, GenAI
Leads cloud-native big data pipelines and GenAI model infrastructure at a global insurer, collaborating with AI/ML and analytics teams to build scalable solutions for risk management and business insights using Spark, Kubernetes, and AWS SageMaker.
Principal Cloud Architect
Principal Cloud Architect designs scalable cloud infrastructure, data platforms, and AI-augmented review workflows, prototypes patterns, and hands them off to engineering teams.