Senior Machine Learning Engineer
PayPal
PythonPyTorchScikit-LearnTensorflow
Machine Learning Engineer
PayPal
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • 🇮🇳 India
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
PythonPyTorchScikit-LearnTensorflow
About the role
- 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.
Requirements
- 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.
Benefits
- Flexible work environment
- Employee shares options
- Health and life insurance
- Wellness programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningdata analysisXGBoostLightGBMRandom Forestscikit-learnTensorFlowPyTorchLLMs
Soft skills
collaborationcross-functional teamworkcommunicationproblem-solvingadaptability
