Posted today · be early

Lead Machine Learning Engineer

Janea Systems

WorldwideremotePosted today

Skill Required

Lead-Machine-Learning-EngineerMachine-Learning-EngineerAI-EngineerMLOps-EngineerMachine-Learning-LeadershipSoftware-EngineerMachine-Learning-Engineering-LeadLead-ML-EngineerMachine-Learning-LeadLead-AI-ML-EngineerMachine-Learning-Technical-LeadML-Engineering-LeadAI-ML-Engineering-LeadLead-AI-EngineerMachine Learning EngineerMachine Learningsoftware engineeringSystem DesignDockerDeep LearningGenerative AIrelated fieldObservabilityKubernetesEngineeringR ProgrammingTensorFlowdevelopingdesigningbuildingPyTorchwrittenPythondesignAzureCloudAWSGCPandAIFulltime

Key highlights

European residence required; fully remote
8+ years experience in software/ML engineering or applied AI
3+ years of technical leadership or mentoring experience required
Competitive compensation with benefits, paid vacation, and sick leave
No business travel necessary
Flexible working hours in a remote-first environment

Role overview

Janea Systems is a dynamic team of top software engineering specialists and solutions innovators from around the world, providing high-impact software development services to Fortune 500 companies from kernel to cloud. They are seeking a Lead Machine Learning Engineer to join their rapidly growing consulting team, where you will lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients across multiple industries.

Responsibilities

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
Mentor engineers
Collaborate with cross-functional teams to deliver high-impact AI solutions

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

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

Benefits

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 so you can work from home
Option to use a desk at an office/coworking facility near you, or use both home and office
No business travel necessary
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, not when or where it gets done