6mo ago

Lead Machine Learning Engineer

Remotelead

Data ScienceMachine Learning EngineerDataData & AI

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Quick Summary

Overview

Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.

Technical Tools

awsazuredockergcpkubernetespythonpytorchtensorflowdeep-learningdistributed-systemsetlmachine-learningmentoring

Fully Remote/ European Residence required

What We Offer

~1 min read

Salary

✓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.

Full time/ Flexible working hours

Head of Engineering

Engineering Team

Requirements

~1 min read

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.

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.