Janea Systems
Lead Machine Learning Engineer
Rol remoto de Lead Machine Learning Engineer con fit claro de ubicación del candidato.
Publicado4 jul 2026
Países elegibles42 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
Lead Machine Learning Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- 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.
Ideal candidates will also 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.
Ideal candidates will also have:
- 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.
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Elegibilidad de ubicación
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