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SAVP - Director of Data Engineering
Lead large-scale data engineering and analytics program delivery across strategic accounts, overseeing end-to-end execution, architecture decisions across Azure/AWS/GCP/Snowflake/Databricks/Microsoft Fabric, and building high-performing onshore/offshore data engineering teams.
Machine Learning Engineer
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Senior Back-End Developer
Senior Back-End Developer at CLA designing, coding, testing, and maintaining complex backend solutions using Python or TypeScript within Microsoft Azure cloud architectures.
Senior Data Scientist
Build automated analytics and AI solutions to improve healthcare outcomes, using machine learning, NLP, and predictive modeling across complex datasets.
Principal Data Engineer
Leads cloud-native data platform design and delivery for a fintech transformation, combining technical leadership with hands-on engineering for Databricks/AWS-based pipelines and lakehouse architectures.
Retail Assistant Manager- Georgetown
POP MART ( 09992.HK ), founded in 2010, is a leading global company in the trend culture and entertainment industry. Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP…
Support Group Facilitator - Amherst
Who we are We’re not your typical non-profit. We bring swagger to everything we do. That means we move with purpose in every step, driven by our commitment to putting our community at the centre of our work. Every day,…
Quantitative Finance Analyst
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Senior Data Engineer
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.