Janea Systems is looking for a Lead Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning and AI systems for our enterprise clients. In this role, you will guide critical architecture decisions, mentor engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.

What You'll Do

Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients.
Transform machine learning research into robust, production-grade solutions.
Guide ML architecture decisions.
Mentor engineers.
Collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.

What We're Looking For

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.

Nice to Have

Experience working with LLMs, generative AI systems, or deep learning architectures.
Experience building ML platforms or internal AI tooling.
Familiarity with distributed training and large-scale data processing frameworks.
Experience with feature stores, model monitoring, and ML observability tools.
Experience delivering ML solutions in client-facing consulting environments.

Technical Stack

PyTorch
TensorFlow
Python
AWS
Azure
GCP
Docker
Kubernetes

Team & Environment

You will be a member of the Engineering Team, reporting to the Head of Engineering. You will join a dynamic team of software engineering specialists and solutions innovators in a remote-first, start-up environment focused on professional growth.

Benefits & Compensation

Competitive compensation with benefits, paid vacation, and sick leave.
Opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.
Ultra-flexible working conditions – generous office equipment allowance for home office or provision of a desk at an office/coworking facility near you. No business travel necessary.
An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
Flexible working hours – remote-first company focused on getting the job done well.