Learneo
Applied AI Engineer II
Vaga remota de Applied AI Engineer com fit claro de localização do candidato.
Publicada8 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeMiddle
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Índia
Resumo da vaga
Applied AI Engineer II
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Responsibilities
- Collaborate with experienced data scientists and software engineers to gain insights into building scalable and efficient data pipelines, model training, and deployment systems.
- Troubleshoot issues in the entire machine learning infrastructure, from Linux, Docker, and Kubernetes up to the highest levels of our ML stack. Resolve issues, improve system performance, and make our stack the best in the industry.
- Assist in the design and development of on-premises MLOps solutions to support the delivery of machine learning models, and a seamless handover between research and productionization of ML artifacts
- Drive and uphold high engineering standards, bringing consistency to codebases encountered and ensuring software is adequately reviewed, tested, and integrated.
- Optimize existing models for better performance and throughput.
- Incorporate ML model training, validation, and evaluation settings in addition to traditional coding tests like unit and integration testing.
- Build and maintain tools for deployment, monitoring, and operations. - Continuously refine and enhance CI/CD workflows to support the evolving needs of the machine learning infrastructure.
Ideal Candidate
- 3+ years of experience in MLOps or full stack Machine Learning - Good programming skills in a modern programming language (Python, Scientific Python Stack, Cuda).
- Understanding of the MLOps life cycle and experience with MLOps workflows.
- Experience with tools & practices of the trade, such as Kubernetes, GCP/AWS/Azure, CI/CD, common ML frameworks, and data management.
- A keen interest in machine learning engineering and a willingness to explore how it can be scaled effectively.
- Strong desire to learn and good communication skills, with an enthusiasm for collaborative problem-solving.
Benefits & Perks
- Competitive salary and annual bonus
- Medical coverage
- Life and accidental insurance
- Vacation & leaves of absence (menstrual, flexible, special, and more!)
- Developmental opportunities through education & developmental reimbursements & professional workshops
- Maternity & parental leave
- Hybrid & remote model with flexible working hours
- On-site & remote company events throughout the year
- Tech & WFH stipends & new hire allowances
- Employee referral program
- Premium access to Quillbot
This role is eligible for hire in India.
- Relevant professional experience
- Skills and expertise
- Scope and responsibilities of the role
- Internal equity considerations
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