Senior Machine Learning Engineer

5 days ago


Kottayam, Kerala, India beBeeMachineLearningEngineer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

About the Position:

**Key Responsibilities:**

You will be responsible for ensuring the scalability of machine learning products and credit risk policies within pre-approved campaigns. This will entail guaranteeing that APIs operate smoothly at scale, identifying ways to simplify and minimize customer risk. We are looking for someone with an entrepreneurial mindset who can utilize cloud-based tools and automation packages.

About the Team:

You will be part of a fast-paced team where new ideas are encouraged. This involves collaboration with various teams across the bank, such as data engineers, data scientists, product managers, and senior business stakeholders.

Requirements:

**Education:**

Masters or Undergraduate degree in Computer Science or related field.

**Experience:**

6–8 years of overall industry experience, with at least 3–4 years in Machine Learning/MLOps or Business Rule Engine (BRE) implementation.

**Technical Expertise:**

  • Proven experience in end-to-end ML/MLOps system architecture including model/BRE implementation, debugging, and production maintenance.
  • Proficient in Python, PySpark, NumPy, Pandas, SQL, and Linux.
  • Hands-on experience with Azure cloud services including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration.
  • Skilled in Azure DevOps for CI/CD pipeline setup and management.
  • Experience with FastAPI/Flask for building scalable ML models APIs.

**Domain Knowledge:**

  • Exposure to credit risk modeling is a strong plus.

**Soft Skills:**

  • Excellent communication and stakeholder management.
  • Strong project management and cross-functional collaboration abilities.

About Our Digital Business Unit:

We are focused on building customer-centric products with human-centered design principles for retail individual and micro, small, and medium enterprise customer segments.

We build innovative products and propositions backed by problem-solving mindsets to discover and solve latent needs of customers.

We ensure designs are highly available, modular, scalable, and secure.

We drive digital business growth and transformation.



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