[Remote] Lead Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Janea Systems is a dynamic team of software engineering specialists providing high-impact software development services to Fortune 500 companies. They are seeking a Lead Machine Learning Engineer to design, develop, and deploy scalable machine learning and AI systems for enterprise clients, while also mentoring engineers and collaborating with cross-functional teams.

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
• Guide ML architecture decisions, mentor engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries

Skills

• 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

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 engineeringchallenges.
• 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.

Company Overview