New growth position

1 month ago


pune, India F337 Deutsche India Private Limited, Pune Branch Full time

Description

As a Senior Data Scientist specializing in deep learning, you will be a key contributor to our advanced analytics team, focusing on leveraging deep learning techniques to extract insights and drive innovation in the financial sector. Your role involves leading the development of cuttingedge models, mentoring junior team members, and collaborating with cross-functional teams to implement impactful solutions.

Engineer 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. 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.

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

As an Python/LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Lead the design and implementation of deep learning models for complex financial challenges, such as risk assessment, fraud detection, KYC, Emails and predictive analytics. Stay current with the latest advancements in deep learning research and apply them to real-world financial problems. Utilize deep learning frameworks, such as TensorFlow or PyTorch, Spacy etc to build and optimize neural networks. Collaborate with data engineers to ensure efficient integration of deep learning models into production systems. Hands-on experience with OCR, NLP, ML algorithms. Drive innovation by exploring novel approaches and methodologies in the field of deep learning. Collaborate with research teams to contribute to the development of state-ofthe-art solutions in financial data analysis. For internal use only Take a leadership role in end-to-end deep learning projects, from ideation to deployment, ensuring high-quality and impactful results. Contribute to the optimization of data pipelines and infrastructure supporting deep learning initiatives. Collaborate with Data Science, Cybersecurity to deliver state of the art ML products. Hands on involvement in building and operating highly sophisticated LLM driven applications. Responsible for coding, designing, deploying, and debugging development projects

Your skills and experience

10+ years of hands-on as Python engineer. Extensive experience applying deep learning techniques to solve complex problems in the financial sector. Proficiency in deep learning frameworks, such as TensorFlow, PyTorch, Spacy etc. Strong programming skills, particularly in R & Python. Knowledge of natural language processing (NLP) and its applications in financial sector. Familiarity with big data technologies, distributed computing, and cloud platforms. Experience with GPU acceleration for deep learning tasks. Great communication & collaboration skills. Bachelor’s degree in Computer Science or a related field

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
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