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Machine Learning Engineer

3 months ago

gurgaon, India IndusInd Bank Full time
If you are interested in enabling smooth customer pre-approval/ pre-qualified/ live digital journeys while leveraging modular constructs and creating APIs to scale ML algorithms – this role will be the right fit for you.
Responsibilities:
You will be working on ensuring scaling of ML products and credit risk policy (incl. models) within pre-approved/ pre-qualified campaigns and live digital journeys. It will entail ensuring APIs operate smoothly at scale, identify ways to ensure simplified and low risk customer journey. We are looking for someone with entrepreneurial mindset, sound understanding of credit risk, with hands-on experience in algorithm design, cloud-based tools/ packages for automation and encryption and APIs.
Qualifications
Masters or Undergraduate in Computer Science/Electrical Engineering/ Mechanical Engineering with overall experience of 3-4 years in MLOps or BRE implementation
End-to-end system design experience: Model/BRE implementation (batch process/ API/ cloud platform tools), debugging, and maintenance in production.
Experience in Python, Linux, cloud computing environment (AWS/ GCP), big data tools like warehouse, spark and pipelines management.
Knowledge of different Algorithms and Machine Learning techniques like regression, classification, clustering, CNN, tree-based algorithms, NLP etc. along with Hyper parameters tuning.
Strong communication and project management skills
Experience in Java would be a plus
Experience in credit risk would be a plus
About the team
You will be part of ML Engineering Team within Digital Banking Unit of the bank.
You will work in a fast-paced environment where new ideas are encouraged. This will involve liaising with teams within Digital and those across the bank e.g. data engineers, data scientists, product managers and senior business and credit risk stakeholders.
The mandate of the Digital Business Unit at IndusInd Bank is as follows:
Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments
Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers
Build Embedded Finance (Banking as a Service) applications
Ensure designs are highly available, highly modular, highly scalable and highly secure
Drive digital business
The unit’s objectives are three fold – (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models.