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The Krembil Centre for Neuroinformatics (KCNI) is CAMH’s research centre for computational neuroscience, data science and AI in mental health. KCNI operates CAMH’s research computing environment, including on-premises…
As a Data Analyst, you will design and develop data-driven solutions that help transform complex datasets into meaningful insights and business value. Working with Python, SQL, and modern analytics tools, you will…
Leads the design, development, and deployment of machine learning models to address moderately complex to complex business challenges. Applies advanced technical expertise and organizational knowledge to independently…
Build and deploy machine-learning models for credit risk, underwriting, and product optimization at a fast-growing fintech company using Python, SQL, and cloud tools.
Leads a team of data scientists and AI engineers to build, deploy, and maintain AI/ML models for a global private bank, focusing on MLOps, cloud engineering, and model governance on Google Cloud Platform.
Lead a small team of data scientists and AI engineers to build, deploy, and maintain AI/ML applications for a fintech bank, focusing on MLOps, cloud engineering, and productionising models on Google Cloud.
Leads LLM/NLP model development and builds production-grade AI systems with robust data pipelines for Earth data solutions.
Job Role : - Data Engineer Job Location : - Singapore Experience : - 5+ years Job Roles & Responsibilities: Lead discussions with stakeholders to understand business challenges and translate them into AI/ML…
Opportunity: DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the…
Build and deploy ML tools (LLMs, multimodal, GenAI) to automate engineering workflows for an electric flying-taxi startup.
Lead the architecture and development of an intelligent, distributed IoT platform for next-generation smart bed technology using embedded Linux, C/C++, Go, MQTT, and AI-driven sleep optimization.
Build and maintain scalable ML pipelines and infrastructure for AI-driven projects using Docker, Kubernetes, and cloud platforms like AWS/GCP/Azure.
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting.
Designs, builds, and deploys production-grade ML systems (LLMs, pipelines, and automation tools) for a mid-market professional services firm’s AI-driven internal workflows, collaborating with data scientists, engineers, and stakeholders.
Lead the design of secure AI platforms, embedding privacy, compliance, and risk controls into ML pipelines and model deployments while aligning with regulations like PDPA.
Designs and architects enterprise-scale AI solutions, integrating LLMs, RAG, and cloud AI platforms like Azure AI and AWS SageMaker into secure, scalable systems.
Design and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; collaborate with data scientists to build scalable AI systems for real-world applications.
Senior MLOps Engineer builds and maintains scalable ML pipelines on AWS/Azure using SageMaker, MLFlow, and IaC tools like Terraform to deploy and monitor production models.
Build and maintain the infrastructure that powers large-scale AI platforms, including RAG systems, APIs, and MLOps, across AWS GovCloud, on-prem, and multi-cloud environments.
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases, while aligning with business objectives and compliance standards.
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