Senior AI ML Engineer
citi
Job Description
- Model Development: Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems, from initial data exploration and feature engineering to model training and evaluation.
- MLOps & Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance.
- API Development: Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems.
- CI/CD Implementation: Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency.
- Data Engineering: Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment.
- Experimentation & Optimization: Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions.
- Code Quality & Best Practices: Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control.
- Technical Leadership: Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team.
- Stakeholder Communication: Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders.