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Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing agency, using Python, Spark, Kafka, and AWS services.
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Designs and builds scalable cloud data platforms on Azure/AWS and leads AI-driven projects, mentoring teams to deploy generative AI solutions securely.
Build and maintain ByteDance’s ML platform, handling data processing, model training, and deployment for large-scale deep learning systems powering ads and search.
Build and maintain ML infrastructure for credit-risk systems, deploying models, optimizing pipelines, and improving data quality and observability.
Design and build scalable cloud data pipelines and lakehouse architectures for a government project, using Python, Spark, Kafka, and AWS services.
Senior Data Engineer builds scalable Snowflake pipelines and reusable ingestion frameworks for a fast-growing digital bank, optimizing cost and reliability across Singapore and Indonesia.
Build and deploy ML models in Python/TensorFlow/PyTorch to analyze large datasets, generate insights, and power real-time decisions for a Singapore-based AI product team.
Build and optimize low-latency, high-throughput ML inference services for CTR/CVR prediction and generative recommendation using LLMs, focusing on GPU acceleration and end-to-end pipeline optimization.
Design and build scalable cloud-native data pipelines and lakehouse architectures, integrating AI/ML capabilities for a government data platform using Python, Spark, Kafka, and AWS services.
Design and run Databricks-based data/ML platforms on AWS for a financial-crime product, focusing on governance, security, and DevSecOps rather than Spark coding.
Build and maintain scalable AI platforms using Kubernetes, Terraform, and CI/CD pipelines on Azure and AWS, supporting MLOps and Generative AI workloads.
Builds full-stack web apps and interfaces to deploy optimization and ML models for academic research, using React, Python, and cloud tools.
Designs and deploys end-to-end IoT/IIoT solutions integrating sensors, edge devices, and cloud platforms for real-time monitoring and analytics in industrial settings.
Build and deploy ML/AI models (regression, classification, deep learning, LLMs) for business use cases, integrate outputs into Power BI dashboards, and productionize solutions for clients.
Design and deploy AI/ML and GenAI solutions, building predictive models and scalable data pipelines to drive business decisions and customer outcomes.
Build and deploy ML models to detect anomalies in time-series sensor data for climate/industrial systems using Python, SQL, and MLOps practices.
Build and deploy production-grade AI/ML models and features, focusing on deep learning, MLOps, and end-to-end automation for measurable business impact.
Lucidya is on the forefront of innovation in artificial intelligence and is looking for a skilled AI Manager to oversee our AI programs and initiatives. In this key role, you will lead a dedicated team of machine…
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