Senior Data Scientist

Job Purpose

Responsibilities

• Design and develop highly complex AI models.
• Select appropriate model architectures.
• Lead code and model reviews and provide technical feedback.
• Prepare executive reports with analytical insights and actionable recommendations.
• Represent the team in meetings to explain and defend technical findings.
• Train team members and provide technical support.
• Collaborate with cross-functional departments.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4+ years of relevant professional experience.

Required Skills

• Proficiency in Cloud Computing technologies and their application in developing and operating AI solutions.
• Ability to design and build end-to-end AI systems, from data collection to deployment and operation.
• Experience in multi-node and distributed training for training models across multiple nodes.
• Application of resource-aware design principles to optimize computational resource utilization.
• Ability to manage model drift and performance degradation and monitor model performance after deployment.
• Optimize load handling and reduce latency to ensure system efficiency under high workloads.
• Design and manage AI/ML pipeline orchestration to automate training, deployment, and operational processes.
• Advanced knowledge of Machine Learning and Deep Learning models and their practical applications.
• Familiarity with MLOps practices for efficiently developing, deploying, and operating AI models.
• Distributed Training: design and manage AI model training across multi-node environments while ensuring efficient workload distribution and training stability.
• Optimization & Scalability: ensure performance efficiency and system scalability.
• Leadership & Decision-Making: make technical and engineering decisions and lead implementation.