AI/ML Engineer, Associate - Analyst

Job Description:

Job Title AI/ML Engineer, Associate

Corporate Title Analyst

Location New York

Overview:

Engineering is responsible for managing or performing work across multiple areas of the Bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes

• Planning and developing entire engineering solutions to accomplish business goals, building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle

• Ensuring maintainability and reusability of engineering solutions

• Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow

• Reviewing engineering plans and quality to drive re-use and improve engineering capability

• Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank

We are seeking a talented and enthusiastic Associate AI/ML Engineer to join our growing team. In this role, you will contribute to the development, deployment, and maintenance of AI/ML solutions that address key business challenges; You will work closely with senior engineers, data scientists, and other stakeholders to build scalable, reliable, and impactful AI/ML systems. This is an excellent opportunity to expand your skills, work on cutting-edge technologies, and make a significant contribution to a dynamic organization.

 What We Offer You

• A diverse and inclusive environment that embraces change, innovation, and collaboration

• A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days

• Employee Resource Groups that support an inclusive workplace for everyone and promote community engagement

• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits

• Educational resources, matching gift, and volunteer programs

What You’ll Do

• Participate in the deployment of ML models to production environments, utilizing tools such as Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, GCP)

• Assist in building and maintaining ML pipelines for automated model training, evaluation, and deployment

• Contribute to the design and implementation of scalable and reliable ML infrastructure

• Assist in the development and implementation of machine learning models using various algorithms and techniques (e.g., regression, classification, clustering, deep learning)

• Contribute to feature engineering, data preprocessing, and model selection processes and experiment with different model architectures and hyperparameters to optimize performance

Skills to Help you Excel

• Work closely with data scientists, engineers, and other stakeholders to understand business requirements and translate them into technical solutions

• Moderate experience with large datasets, ensuring data quality, consistency, and integrity

• Participate in code reviews and provide constructive feedback

Skills You’ll Need

• Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field

• Moderate experience in a relevant role (e.g., AI/ML Engineer, Data Scientist, Software Engineer with ML focus)

• Proficiency in Python. Familiarity with other languages (e.g., Java, Scala, R) is a plus ; Experience with popular ML frameworks such as TensorFlow, PyTorch, scikit-learn, or similar and experience with relational databases (e.g., SQL) and NoSQL databases

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML services.

• Experience with data processing tools and libraries such as Pandas, NumPy, Spark, or Dask ; Familiarity with DevOps principles and tools for continuous integration/continuous deployment containerization (Docker), and orchestration (Kubernetes). Proficient with Git and related version control workflows

Expectations

It is the Bank’s expectation that employees hired into this role will work in the New York, NY office in accordance with the Bank’s hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.

The salary range for this position in New York City is $70,000.00 to $102,500. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.

Deutsche Bank Benefits

At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authenti­cally and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!

Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life

The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice please email HR.Direct@DB.com.

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We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

We are an Equal Opportunity Employer - Veterans/Disabled and other protected categories. Click these links to view the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; Employee Polygraph Protection Act and Pay Transparency Nondiscrimination Provision.