Senior Machine Learning Engineer

Job Description

Overview

Key Responsibilities

• Design, build, and maintain scalable machine learning models for personalization and recommendation.
• Implement and experiment with advanced algorithms, including Graph Neural Networks (GNNs) and candidate selection models.
• Contribute to the development of hybrid systems that integrate traditional ML models with Large Language Models (LLMs).
• Collaborate with cross-functional teams, including product, engineering, and data science, to define requirements and deliver solutions.
• Participate in the entire ML lifecycle, from data preprocessing and feature engineering to model training, deployment, and monitoring.
• Write clean, maintainable, and well-tested code for ML models and pipelines.
• Stay up-to-date with the latest advancements in machine learning and actively contribute to the team's technical growth.

Required Skills

• 5+ years of professional experience in machine learning or a related field.
• Strong programming skills in Python and experience with common ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience building and deploying machine learning models in a production environment.
• Experience with personalization, recommendation systems, or a similar area.
• Solid understanding of machine learning concepts and algorithms.
• Experience with at least one major cloud platform (GCP, AWS, Azure).

Nice to Have

• Experience with Graph Neural Networks (GNNs).
• Experience with Generative AI and Large Language Models (LLMs).
• Experience with MLOps tools and practices.
• Experience with big data technologies like Spark.
• A Master’s degree or PhD in Computer Science, Machine Learning, or a related field.