Machine Learning Engineer

2 - 7 years

4 - 9 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary

Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions.
 
Essential Responsibilities
  • Assist in the development and optimization of machine learning models.
  • Preprocess and analyze datasets to ensure data quality.
  • Collaborate with senior engineers and data scientists on model deployment.
  • Conduct experiments and run machine learning tests.
  • Stay updated with the latest advancements in machine learning.
Minimum Qualifications
  • Minimum of 2 years of relevant work experience and a Bachelors degree or equivalent experience.
  • Familiarity with ML frameworks like TensorFlow or scikit-learn.
  • Strong analytical and problem-solving skills.

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