Senior Machine Learning Engineer

Key Responsibilities

• Model Development : Design and implement ML algorithms, from traditional statistical methods to deep learning and LLM-based frameworks.
• Data Preparation : Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation : Optimize ML algorithms and statistical models for performance and accuracy.
• System Integration : Integrate ML models into workflows and production systems.
• Model Deployment & Monitoring : Deploy models on AWS SageMaker, monitor performance, and implement improvements.
• Collaboration : Work with cross-functional teams to deliver ML solutions.
• Continuous Improvement : Identify opportunities to enhance model performance and ML system efficiency.

Technical Skills & Tools

Must-Haves

Interview Process

Skills : model deployment,cloud,aws,learning,data,algorithms,ml,models

Skills Required

Neo4j, Docker, Kafka, Sql, Kubernetes