The Corporate & Investment Bank is looking to enhance the efficiency and effectiveness of its operations by leveraging cutting-edge AI and machine learning solutions.
Requirements
- Experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker or Bedrock.
- Familiarity with MLOps practices, encompassing the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, Pytorch lightening, or Scikit-learn.
- Proficiency in programming languages such as Python
- Proficiency in writing comprehensive test cases, with a strong emphasis on using testing frameworks such as pytest to ensure code quality and reliability.
- Experience with generative AI models, including GANs, VAEs, or transformers. Experience with Diffusion models is a plus.
- Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS)
Responsibilities
- Develop and implement machine learning models and algorithms to solve complex operational challenges.
- Design and deploy generative AI applications to automate and optimize business processes.
- Collaborate with stakeholders to understand business needs and translate them into technical solutions.
- Analyze large datasets to extract actionable insights and drive data-driven decision-making.
- Ensure the scalability and reliability of AI/ML solutions in a production environment.
- Stay up-to-date with the latest advancements in AI/ML technologies and integrate them into our operations.
- Mentor and guide junior team members in AI/ML best practices and methodologies.
Other
- Ph.D. with 0-1 year experience or Master with 3-4 years experience in Computer Science, Data Science, Machine Learning, or a related field.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
- We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
- We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
