Lead Machine Learning Engineer

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🕒 March 9

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Janea Systems

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

Enterprise • Software Development

Janea Systems is a company that specializes in solving complex software engineering challenges for enterprises. Trusted by industry leaders, they have fostered long-term partnerships with global innovators like Microsoft, ARM, and Merck. With a team composed of the top 1% of engineers worldwide, Janea Systems delivers mission-critical software projects that impact millions of developers and billions of consumers daily. Their expertise spans from 'kernel to cloud,' offering solutions that optimize and build technologies used by Fortune 500 companies. With over two decades of experience, Janea Systems stands out as a leader in providing high-impact software development services, staying at the forefront of industry advancements through a culture of collaboration, adaptability, and continuous learning.

📋 Description

• Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients. • Work at the intersection of machine learning, distributed systems, and production software engineering. • Help transform cutting-edge ML research into robust, production-grade solutions. • Guide ML architecture decisions and mentor engineers. • Collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.

🎯 Requirements

• 8+ years of experience in software engineering, machine learning engineering, or applied AI. • 3+ years of experience in technical leadership or mentoring engineering teams. • Strong experience developing and deploying machine learning models in production environments. • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar. • Experience designing scalable ML systems and data pipelines. • Strong programming skills in Python and experience with backend or distributed systems. • Experience with cloud platforms (AWS, Azure, or GCP). • Experience with containerization and deployment technologies (Docker, Kubernetes). • Strong understanding of MLOps practices and model lifecycle management. • Excellent problem-solving skills and ability to work independently in remote environments. • Strong written and spoken English communication skills. • Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

🏖️ Benefits

• Competitive compensation with benefits, paid vacation, and sick leave. • The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges. • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary. • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development. • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.