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Design and build secure, compliant AI/ML platforms on AWS and Azure for a large bank, including MLOps pipelines, guardrails, and observability for regulated environments.
Data Scientist at Metropolis builds and deploys ML models to analyze large datasets and drive AI-powered checkout-free experiences in parking and mobility, using Python, SQL, and frameworks like TensorFlow.
Designs and maintains data pipelines with PySpark and optimizes ML models for predictive analytics using Python, SQL, and AWS SageMaker.
Lead the modernization and security of Compare Club’s AWS cloud platform, migrating legacy systems to Terraform-managed ECS/Fargate, automating operations with Python/Bash, and embedding AI-driven incident response under ISO 27001 and PCI DSS.
Build large-scale predictive models and MLOps pipelines for Fortune 500 clients using Python, SQL, Snowflake, Databricks, and SageMaker.
Build and deploy ML models to classify and extract data from real estate financial reports, then maintain the ETL pipelines that normalize this data for analytics at scale.
Lead the design and build of JPMorgan’s global AI/ML deployment platform on AWS, owning control plane, APIs, and multi-region infrastructure that powers model deployments at scale.
Senior ML Engineer builds and deploys production-grade AI services for Hyatt’s hospitality data, including real-time and batch inference systems, MLOps pipelines, and scalable ML infrastructure.
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
Lead a team building generative AI assistants and agents using Python, FastAPI, and frameworks like LangChain; deploy on AWS with CloudFormation and GitHub Actions.
Lead a team building AI models for document understanding, including image classification and text extraction from scanned healthcare documents using PyTorch, TensorFlow, and AWS SageMaker.
Would you like to shape the future of cloud computing by identifying and working with the most promising early-stage startups and venture capital firms? Do you have the technical depth, business acumen, and investment…
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
As an Applied Scientist II specializing in lead scoring and deep learning modeling, you will build and improve machine learning models that power how our business engages with customers. You will develop predictive…
Build and maintain secure, high-performance cloud infrastructure for government AI/ML workloads in air-gapped regions, supporting services like SageMaker and Bedrock.
Builds and maintains big-data pipelines in Scala/Spark/Python on the ADA platform to power retail-banking analytics and customer-facing features.
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
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