Credit Saison | Hiring | ML Engineer | Bengaluru | Bharat | BigDataKB.com | 12 Oct 2022

Job Location: Bengaluru

Credit Saison:
A Neo-Lending Conglomerate here to enable Indiaโ€™s credit growth story, Credit Saison India, emboldened by our Global MNC parent, is here to accelerate Indiaโ€™s credit growth story: by building a Technology-Led Neo-Lending Conglomerate. Across our verticals, we offer bespoke solutions to meet the various credit needs of Individuals, SMEs, FinTechโ€™s, and NBFCs. Credit Saison India (โ€œCS Indiaโ€), having been founded in 2018, operates under the registered name Kisetsu Saison Finance India Private Limited as an MNC subsidiary of its parent company โ€“ Credit SaisonCo. Ltd in Japan. Across our various business verticals like Wholesale Financing, Co-origination Financing, Consumer Financing, and SME Financing we look towards reaching resilient Assets Under Management (โ€œAUMโ€) of US1bn in record time.
More about us on https://www.creditsaison.in

Roles & Responsibilities:
  • Work with data scientists to refine the ML model and scale it up

  • Create and maintain data processing, feature engineering and model training pipelines
  • Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models.
  • Create re-usable tools and frameworks for ML model deployment and monitoring
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
  • Be a go-to person to escalate production performance and evaluation issues for machine learning systems and their interactions with the rest of the ecosystem.
  • Develop and maintain A/B testing frameworks
  • Conduct internal workshops and external meetups
  • Play a critical role in setting the direction in terms of project impact, ML system design and MLOps.
  • Suggest, collect and synthesise requirements and create effective feature roadmap
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
  • Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt.
  • Manage individual project priorities, deadlines and deliverables.
  • Participate in cutting edge research in artificial intelligence and machine learning applications.
  • Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real world engineering problems.
  • Code deliverables in tandem with the engineering team


Required skills & Qualifications:
  • A Bachelorโ€™s or Masterโ€™s in computer science, with at least 5 -10 years of relevant work experience

  • Experience in MLOps building production ML pipelines for model training/prediction
  • Experience working with large data sets, coming from varied sources
  • Experience working with open source ML libraries such as Tensorflow, PyTorch and XGBoost and strong understanding of Python.
  • Experience working with ML model training/deployment tools (such as Airflow, Kubeflow)
  • Familiarity with data engineering tools (Flink/Spark/Kafka etc)
  • Experience with both object-oriented and functional programming concepts and language
  • Experience in building and maintaining rule engines and A/B testing frameworks
  • Experience in building, deploying, and improving Machine Learning models and algorithms in real-world products.
  • Experience with application development and deployment in aws and sagemaker strongly preferred.




Apply Here

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