Machine Learning Engineer

This role is for one of our clients

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