Top AI & Machine Learning Jobs

Design, build, and operate cloud-native AI infrastructure and platform services to support model development, training, evaluation, and inference. Implement IaC and automation, enable ML/LLM production deployments within governed enterprise environments, build observability and monitoring, collaborate with security and cross-functional partners, and support on-call/operational duties.

Join Systematic Active Equity to research and develop alpha-generating strategies by applying statistics, econometrics, machine learning and AI to large, complex datasets. Conduct hypothesis testing, simulation and backtesting, build scalable research pipelines, and partner with portfolio managers and engineers to deploy ideas into live investment strategies.

Conduct empirical research to discover and validate novel alpha sources using ML, AI, econometrics and large datasets. Build scalable research pipelines, backtest strategies, and partner with PMs and engineers to deploy live systematic equity strategies.

Designs, trains, evaluates, and deploys ML and AI models; implements MLOps for production, monitors model performance, collaborates with data scientists and stakeholders, and optimizes scalability and reliability.

Lead design, development, and deployment of production-grade AI systems (LLMs, RAG, agentic workflows, semantic search) for investment and trading compliance; define AI strategy, evaluation and governance, partner with stakeholders, mentor teams, and operationalize scalable, secure AI solutions within the Aladdin platform.

Design, prototype, and deploy AI-powered workflows, agentic systems, and copilots for investment research. Translate business needs into technical specs, productionize prototypes using modern AI tooling (LLMs, RAG, vector DBs, orchestration), evaluate vendors and model risks, drive adoption, and measure impact across BII's research, content, and asset-allocation processes.

Lead development and deployment of AI/ML and generative-AI solutions (LLMs, RAG) that drive commercial growth and operational efficiency. Partner with product, engineering, and business teams to design, evaluate, monitor, and scale production systems using cloud, data engineering, and DAG orchestration frameworks while championing responsible AI and model governance.

Design, build, and operate scalable, secure multi-cloud infrastructure and AI-focused platforms. Lead IaC automation (Terraform/Ansible/CloudFormation), enable MLOps workflows for model training and inference, apply AI-assisted engineering to reduce toil, drive platform strategy, deliver large-scale projects, and mentor engineers.

Lead design and delivery of a scalable AI platform for Aladdin: build Kubernetes-based model deployment, cloud-native infrastructure, CI/CD for ML, ensure security/compliance, troubleshoot platform reliability, translate business needs into robust technical designs, and collaborate across global teams.