Description

Lead a small engineering team to build scalable systems and data processing pipelines for machine learning research.

Responsibilities

• Direct the engineering team, managing performance and supporting career development.
• Provide technical leadership to evolve the technology stack and improve engineering methodologies.
• Build, test, and deliver high-quality solutions across the entire software development lifecycle.
• Create large-scale data processing pipelines to support the training of novel machine learning algorithms.
• Develop high-performing, scalable systems within large online delivery environments.

Required Skills

• 8+ years of software engineering experience, specifically within machine learning and NLP contexts.
• Proven experience in people management and leading technical workstreams.
• Deep understanding of Python software development stacks and ecosystems.
• Experience developing cloud-native applications in Azure, AWS, or similar platforms.
• Proficiency in systems design with a focus on DevOps, CI/CD, and automation.
• Experience working within agile environments.
• Bachelor’s degree in Computer Science or a related field.

Preferred Skills

• Experience integrating ML solutions into production-grade software and managing the AI/ML development lifecycle.
• Exposure to C# and .NET development.

Key Skills

Education

Any Graduate