AI/ML Developer

AI/ML

Developers

Salary

Responsibilities

• Build, experiment, and productionise AI/ML solutions which deliver value to business and clients in close partnership with sales and trading
• Deploy / productionise MSS Data Science team's projects
• Build MLOps infrastructure to enable large-scale ML/DL model development, training and deployment
• Build and optimize model inference, integration, backtesting frameworks. Working with data scientists and quants to onboard ML/DL/RL use cases
• Managing the delivery of multiple complex projects from design through to release. Understanding and contributing to the technical solution from design through to code
• Responsibility for ensuring that risks and issues are identified and managed closely to deliver on time and to the required quality standards whilst adhering to the SDLC
  

Eligibility

• This is an entry-level job
• Proficient in Python production development in enterprise environment
• Good experience with CI/CD pipelines (e.g., Jenkins), version control (Git), software testing, and a solid understanding of DevOps methodologies
• Good experience of databases, e.g. MongoDB, RDBMS, KDB
• Experience of MLOps frameworks e.g. MLFlow, Kubeflow etc. Good experience of Cloud platforms, e.g. GCP, Azure