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AI Engineer

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Job Description:

Job Title: AI Engineer

Location: Pune, India

Role Description

Indra is the central program driving the introduction and safe scaling of AI at DB. Focus is identify AI potential across various banking operations, driving funded use cases into production to create value and confidence and scale across the bank, creating selected shared services with embedded safety to enable low cost scale, developing an AI Workbench for developers for safe AI development at pace, and introducing AI controls whilst aiming to maintain time to market.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above

Your key responsibilities

Model Deployment:
Collaborate with data scientists to deploy machine learning models into production environments.
Implement deployment strategies such as A/B testing or canary releases to ensure safe and controlled rollouts.
Infrastructure Management:
Design and manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers.
Utilize containerization technologies like Docker to package models and dependencies.
Continuous Integration/Continuous Deployment (CI/CD):
Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models.
Implement version control to track changes in both code and model artifacts.
Monitoring and Logging:
Establish monitoring solutions to track the performance and health of deployed models.
Set up logging mechanisms to capture relevant information for debugging and auditing purposes.
Scalability and Resource Optimization:
Optimize ML infrastructure for scalability and cost-effectiveness.
Implement auto-scaling mechanisms to handle varying workloads efficiently.
Security and Compliance:
Enforce security best practices to safeguard both the models and the data they process.
Ensure compliance with industry regulations and data protection standards.
Data Management:
Oversee the management of data pipelines and data storage systems required for model training and inference.
Implement data versioning and lineage tracking to maintain data integrity.
Collaboration with Cross-Functional Teams:
Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints.
Collaborate with DevOps teams to align MLOps practices with broader organizational goals.
Performance Optimization:
Continuously optimize and fine-tune ML models for better performance.
Identify and address bottlenecks in the system to enhance overall efficiency.
Documentation:
Maintain clear and comprehensive documentation of MLOps processes, infrastructure, and model deployment procedures.
Document best practices and troubleshooting guides for the team.

Your skills and experience

University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master’s or Doctoral degree
2-4 years of experience in applying AI, machine learning and/or data science in business and/or academia. Strong knowledge of at least one programming language (e.g., Python, JavaScript) and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.).
Ideally, practical experience in finance and banking
Comfortable working with and managing uncertainty and ambiguity
Excellent oral and written communication skills in English

How we’ll support you

Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.htm

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.

Average salary estimate

$80000 / YEARLY (est.)

min

max

$60000K

$100000K

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What You Should Know About AI Engineer, DB

Join Deutsche Bank as an AI Engineer in Pune, India, and step into an exciting role that drives the potential of artificial intelligence across various banking operations. In our innovative Indra program, you will collaborate closely with data scientists to deploy machine learning models into production, ensuring their safe rollout using strategies like A/B testing and canary releases. Your expertise will help us design and manage the infrastructure necessary for hosting these models, tapping into cloud resources and utilizing containerization technologies like Docker. With your skills, you will also develop CI/CD pipelines to automate the model lifecycle, ensuring that everything from testing to deployment runs smoothly. You'll establish monitoring solutions to keep tabs on performance and health metrics, guaranteeing optimal operation. As you optimize our infrastructure for scalability and cost-effectiveness, you’ll be at the forefront of security implementation to protect our data and models. Working hand-in-hand with various teams, you will help synchronize our MLOps practices with DB’s broader goals. In return for your hard work, we offer an array of benefits, from a generous leave policy to continuous learning and professional development. If you have a solid technical background along with 2-4 years of experience in AI or machine learning, looking to make a real impact at Deutsche Bank, then this position could be perfect for you!

Frequently Asked Questions (FAQs) for AI Engineer Role at DB

What are the key responsibilities of an AI Engineer at Deutsche Bank?

An AI Engineer at Deutsche Bank plays a critical role in deploying machine learning models into production environments, collaborating closely with data scientists. Key responsibilities include designing and managing infrastructure for hosting models, developing CI/CD pipelines for automated testing and deployment, and implementing monitoring solutions to track model performance. You will also need to optimize the infrastructure for scalability and ensure compliance with security standards.