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Machine Learning Engineer

weekday (yc w21)
Bengaluru, India
2-4 Years
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  • Posted 5 days ago
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Job Description

This role is for one of our clients
Industry: Software Development

Seniority level: Associate level

Min Experience: 2+ years

Location: Bengaluru

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Requirements:

  • A Bachelor's degree or higher from an accredited university, completed and verified before the start date
  • Preferably, experience working in the FinTech or Credit Card industry
  • Familiarity with Data Science tools and frameworks such as Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, and Spark
  • Strong foundation in software engineering principles, including version control systems (e.g., Git, GitHub), workflows, and the ability to write production-quality code
  • A clear understanding of Generative AI and various Large Language Models (LLM)
  • Experience with Databricks Delta Lake architecture and MLflow is a plus
  • Good knowledge of cloud infrastructure platforms such as Azure or GCP
  • Solid understanding of machine learning techniques, including classification, regression, and clustering
  • Holds a BS, MS, or PhD in Computer Science or a related field, or possesses equivalent practical experience
  • Comprehension of machine learning concepts such as training and validation processes
  • Expertise in visualizing and handling large datasets
  • Proficiency in data querying and processing tools, such as SQL

Required Skills
Python, Classification, Regression, Clustering

Preferred Skills
LangChain, LangGraph, TensorFlow, Pandas

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Software Development
Employment Type:
Full time

About Company

weekday (yc w21)

Job ID: 148622543

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Last Updated: 02-06-2026 05:19:45 PM
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