Vista previa generada por IA
Senior Python/Java Engineer – AI/ML Platforms at Deutsche Bank, Bangalore.
Design and build AI‑enabled backend services, manage ML production platforms.
Role Description
The Senior Engineer designs and implements AI‑driven technical solutions and configures applications across environments to solve complex business problems. With partial/full ownership of AI/ML production platforms, the Senior Engineer ensures environment stability, rapid resolution of production issues, and continuity of critical ML services. The role involves building scalable API‑driven systems, integrating ML models into production, and standardizing reusable components to ensure reliability and performance.
What we’ll offer you
- 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
- Architect, design and develop AI‑enabled backend services using Python and/or Java.
- Build scalable microservices that integrate ML models (training, inference, monitoring).
- Own the full development lifecycle—analysis, design, implementation, testing and L3 support.
- Partner closely with Data Science teams to productionize models and optimize performance.
- Participate in strategic evolution of platform architecture, MLOps pipelines and cloud infra.
- Implement feature engineering, data ingestion workflows, and model serving APIs.
- Work with peer teams to deliver successfully on integration points across AI/ML systems.
- Contribute to SL3 production issue investigation and resolution.
- Document requirements, design decisions, APIs and architecture.
- Collaborate with QA teams to automate testing of new and existing AI functionality.
- Mentor junior developers and guide them on best engineering and ML engineering practices.
Your skills and experience
- Strong hands‑on experience in Python and/or Java for backend engineering.
- Experience building AI/ML applications, integrating models, or developing ML pipelines.
- Solid understanding of REST APIs, microservices, distributed systems.
- Experience with ML frameworks: TensorFlow, PyTorch, Scikit‑learn.
- Strong database knowledge: SQL Server, Oracle, PostgreSQL, or NoSQL stores.
- Experience with Linux, Shell scripting, event‑based frameworks, Kafka.
- Hands‑on experience with Docker, Kubernetes, OpenShift, GKE, CI/CD tooling (Jenkins, TeamCity).
- Familiarity with MLOps tools such as MLflow, Airflow, Kubeflow (preferred).
- Strong understanding of design patterns, TDD/BDD, and Agile/DevOps practices.
- Cloud experience with GCP, AWS, or Azure.
- Bonus: experience with Spark, Elastic, Kibana, or AI digitization (OCR, ML, AI automation).
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.html 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.