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Deutsche Bank
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Data Science Analyst

Data Science Analyst

Deutsche Bank

2 - 4 years

8 - 12 Lacs

Pune

Posted:12 hours ago| Platform:

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Skills Required

python machine learning artificial intelligence tensorflow data science continuous integration data management natural language processing scikit-learn mathematics ci/cd javascript sql deep learning computer science spark predictive modeling ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

:
Job Title
AI Engineer
LocationPune
,
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 well offer you

100% reimbursement under childcare assistance benefit (gender neutral)

Sponsorship for Industry relevant certifications and education

Accident and Term life Insurance

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 Masters 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 well support you

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.

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Data Science Analyst