AI/ML Engineer, Associate

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Deutsche Bank, so some details may not match this job. The employer's own page has the real description.

Job Overview

As an AI/ML Engineer, Associate at Deutsche Bank, you will be instrumental in developing innovative machine learning models and artificial intelligence solutions that enhance data-driven decision-making across our financial services. Your role will involve collaborating with cross-functional teams to identify business opportunities, translating complex data into actionable insights, and deploying cutting-edge technologies to optimize processes. This is a unique opportunity to leverage your analytical skills in a dynamic financial environment while contributing to the advancement of our AI capabilities.

Job Responsibilities

• Design, develop, and implement machine learning models to solve business problems.
• Analyze large datasets to derive actionable insights and formulate strategies.
• Collaborate with data scientists, software engineers, and business stakeholders on various projects.
• Continuously evaluate model performance and refine algorithms for improved outcomes.
• Document processes and methodologies for future reference and compliance.
• Stay updated on the latest AI/ML trends, tools, and techniques to maintain a competitive edge.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field; a Master’s degree is preferred.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong background in statistics, data analysis, and algorithm development.
• Knowledge of data visualization tools and techniques.
• Excellent communication skills and ability to work collaboratively in a team environment.

Technologies & Tools

In this position, you will utilize a variety of technologies and tools that facilitate the development and implementation of AI and machine learning solutions. This includes data processing frameworks such as Apache Spark and Hadoop, cloud services like AWS, Azure, or Google Cloud for scalable deployments, as well as database management systems including SQL and NoSQL to manage and retrieve data efficiently. Familiarity with data visualization platforms such as Tableau or Power BI will also be integral to presenting complex data insights effectively.

Ideal Candidates

The ideal candidates for this position are those who possess a strong analytical mindset combined with an innovative approach toward problem-solving. They should demonstrate a genuine passion for artificial intelligence and machine learning technologies and exhibit an eagerness to learn and adapt in a fast-paced, evolving environment. Successful candidates will be proactive team players with excellent interpersonal skills, capable of communicating complex technical concepts to non-technical stakeholders. A proactive attitude toward continuous improvement and a commitment to excellence will distinguish you as a valuable asset to our team.