Weekday AI
Weekday AI

Machine Learning Engineer

TLDR

Develop ML models and data tooling for a fintech/credit card client, leveraging Python, Spark, MLflow, Delta Lake, and cloud platforms to deliver production-grade solutions.

This role is for one of the Weekday's clients

Min Experience: 2+ years

Location: Bengaluru

JobType: full-time

Requirements

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

Weekday AI is transforming the hiring landscape by offering companies an extensive database of vetted white-collar talent in India. Our automation tools streamline candidate outreach and reference checks, ensuring high response rates and efficient hiring for tech-focused organizations.

Founded
Founded 2020
Employees
11-50 employees
Industry
Construction & Engineering
View company profile
Report this job
Apply for this job