Lead Software Engineer (Machine Learning)

TL;DR

Lead Software Engineer (Machine Learning): Designing and implementing optimal solutions for a wide array of ML use cases, building and deploying robust APIs and pipelines that serve millions of requests with high efficiency and reliability. Focus on MLOps practices, ensuring seamless model transitions from development to production, and architecting scalable, low-latency ML API services.

Company

hirify.global builds uncomplicated service software that delivers exceptional customer and employee experiences, trusted by over 72,000 companies worldwide for customer and employee experience software.

What you will do

• Collaborate with Data Scientists to translate theoretical ML models and algorithms into high-performance, production-grade code.
• Build and manage comprehensive ML pipelines, including data pre-processing, model generation, automated deployment, and active feedback loops.
• Develop and deploy extensible ML API services optimized for low latency and high scalability.
• Devise and build monitoring capabilities for engineering efficiency and ML model performance metrics.
• Architect solutions from scratch and liaise with cross-product architects and engineers to drive adoption and ensure technical alignment.
• Lead Proof of Concept (POC) initiatives on various tech stacks and own the full lifecycle of feature delivery.

Requirements

• 6-9 years of relevant experience in software engineering and machine learning development.
• Proven track record in building and productionizing Machine Learning solutions at scale.
• Deep experience with MLOps practices.
• Degree in Computer Science, Artificial Intelligence, or a related quantitative field.

Culture & Benefits

• Fosters an environment that enables everyone to find their true potential, purpose, and passion.
• Welcomes colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities.
• Committed to providing equal opportunity and believes in the power of diversity in the workplace.