Machine Learning Engineer
Core
Building and deploying machine learning models and Generative AI solutions for FinTech and Credit Card clients.
Role type
Machine Learning Engineer
Builds
Production ML models and Generative AI applications
Domain
FinTech, Credit Card, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Python, Classification, Regression, Clustering, SQL, Data querying, Software engineering principles, Version control, Cloud infrastructure (Azure/GCP), Machine learning techniques (training/validation), Large dataset handling
Preferred skills
LangChain, LangGraph, TensorFlow, Pandas, Databricks Delta Lake, MLflow
Technologies
Python, TensorFlow, Keras, R, Spark, Databricks Delta Lake, MLflow, Azure, GCP, Git, GitHub, Scikit-learn, NLTK, NumPy, Pandas, LangChain, LangGraph
Responsibilities
Develop and implement machine learning algorithms for classification, regression, and clustering tasks. Build and maintain Generative AI and Large Language Model applications. Engineer production-quality code using Python and adhere to software engineering best practices. Manage and process large datasets using SQL and data science tools. Collaborate on cloud infrastructure deployment on Azure or GCP.
Seniority
Mid-level (2+ years experience)
