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Deutsche Bank
Machine Learning Engineer & Data Scientist
Deutsche Bank
Pune•Hybrid•3-6 Yrs•1 hour ago
Job description
Hybrid
Overview
Machine Learning Engineer & Data Scientist Position Overview
Responsibilities
- We are seeking an experienced Cloud (GCP) Data and AI engineer to play a key role in development and implementation of AI and Data engineering solutions.
- Candidate will work as an Engineering Team member in collaboration with business function and will be responsible forbuilding and deploying robust and scalable AI and data engineering solutions, in-line with bank's AI strategy, driven by business value to improve operational efficiency and enhance customer experience.
- 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
- Build and implement data engineering and AI/ML solutions in Securities Services by preparing data, Feature engineering, running statistical tests, validating outputs, training and deploying ML models
- Engineer who can support business counterparts to study use cases, propose and deliver data engineering and AI/ML solutions for Securities Services domain.
- Ensure seamless integration with existing systems and data platforms (Hybrid Cloud and Hadoop).
- Ensure data quality, security, and governance for AI model training, development and deployment.
- CI/CD workflows for data pipelines, SQL scripts, ML models to implement in Production, with agile methodology
- Stay up-to-date with the latest trends in cloud data, AI and machine learning (ML) tools and technologies (LLM, AutoML, Vertex AI)
- Collaborate with other teams and central AI team to identify emerging trends and technologies and to avoid duplication of efforts by building re-usable components.
- Develop proof-of-concept projects and pilots, with a scalable approach.
- Ensure that AI solutions comply with regulatory requirements and industry standards.
- Conduct regular risk assessments to identify potential vulnerabilities and mitigate them.
- Communicate technical results and recommendations to non-technical stakeholders through clear and concise language.
Qualifications
- Minimum 3 years of hands-on experience in AI, ML, data science - Productionisation and post-production maintenance of solutions
- Technical Skills
- Proficiency in SQL, Python, programming languages.
- Knowledge of data management and processing platforms (e.g. Hadoop/Cloud Storage, Spark/DataProc, Big Query, ADX, Dataflow, Airflow/Cloud Composer).
- Machine Learning Framework understanding - TensorFlow, PyTorch, LLMs, NLP with solution-oriented mindset.
- High-performing team player to drive results-oriented projects.
- Strong communication and interpersonal skills.
- Certifications: Relevant certifications in Data Science, Analytics, etc.
- 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
Education
- Bachelor's / Master's degree in Computer Science, Mathematics, Statistics or related field.
- 5+ years of hands-on experience in Could (GCP) data engineering - data modelling, performance tuning for analytics platforms