★Senior Software Engineer (MLOps) | Sales tech SaaS company
- Business Level Japanese Required (N3 OK)
◆ Flextime & Fully Remote Work
◆ Start-up Company
◆ Annual Salary: 6 million ~ 12 million yen.
【About the company】
The company aims to create a rich society where "true communication" flourishes.
They define "true communication" as not merely conveying information, but as communication that evokes emotion, stirs passion, and appeals to human sensibility. This encompasses various forms of communication: between people, between individuals and society, between companies and society, and both verbal and non-verbal interactions.
Through their business activities, the company strives to build a society where people of rich sensibility resonate with one another.
The company is a SaaS firm with the mission of "reinventing communication to create a society where people care for one another." They provide AI × Voice × Cloud software and databases, primarily in the sales domain.
Recently, they've been developing AI-powered B2B services. This includes creating and offering an AI-powered voice analysis phone that visualizes sales conversations for self-coaching and enables remote work, as well as an AI-equipped online business negotiation analysis tool.
【 Job Description】
【Your Role】
To reinvent communication and create a society where people care for one another, you'll be designing, implementing, and optimizing multimodal AI systems, primarily focusing on voice, utilizing cutting-edge machine learning models.
You'll also lead the architecture design and implementation of large-scale distributed systems, enhancing their reliability and scalability. You'll build efficient and cost-effective infrastructure by leveraging cloud-native technologies.
Your role involves designing and implementing advanced MLOps pipelines to ensure continuous model improvement and rapid deployment. You'll also build real-time data processing and analytics platforms, contributing to enhanced business intelligence.
You'll collaborate with the next-generation AI R&D team, driving the prototyping and productization of innovative features. Finally, you'll design high-availability and low-latency system architectures with a view toward global-scale deployment.
【Job Satisfaction】
You'll work in an environment that enables rapid development, applying cutting-edge multimodal AI technology to the B2B sector.
You can collaborate with a research and development team that actively participates in international conferences and publishes papers.
You'll gain experience developing systems that can stably process over 1 million analysis requests per day.
You'll acquire experience in real-time data processing development using technologies like Kinesis.
You'll gain experience in designing and implementing MLOps pipelines within large-scale systems.
You'll have the opportunity to work with senior team members and develop with significant autonomy.
【Technology Stack (Including Future Plans)】
The company is microservices-oriented, especially for real-time services and analytics, adopting appropriate technologies for each service.
Backend: Python (Django), Elasticsearch
Frontend: ,
Analysis: Python, TensorFlow, Keras, PyTorch
Communication: SIP, VoIP, WebRTC, WebSocket
Infrastructure: AWS, Google Cloud, Terraform
Mobile Apps: Kotlin, Swift, Flutter (Dart)
Communication Tools: Slack, GitHub, Confluence
【 Requirements】
【Required】
3+ years of experience developing distributed systems on cloud platforms (especially AWS)
Deep knowledge and hands-on experience with container orchestration technologies (e.g. Kubernetes)
Experience automating development processes by designing and implementing CI/CD pipelines
Advanced programming skills in Python or equivalent language
Experience with cost optimization and performance tuning
【Preferred】
Experience designing and implementing machine learning systems
Experience working in the field of speech and natural language processing
Experience developing multimodal AI
Experience designing and implementing microservice architecture
Experience designing and implementing serverless architecture
Experience working with large scale data processing technologies (Apache Spark, Kafka, etc.)
Experience in developing cloud-native applications
Track record of contributing to open source projects
English proficiency above daily conversational level (English is used for team MTG)
【Ideal Applicants】
Empathy with the company's mission vision
Embodying the values
Able to work in a team-oriented environment
Good at thinking logically
Highly motivated for personal growth
【Working Hours】
Flextime System
【Holidays】
・Saturday/Sunday/National Holiday
・Annual Paid Leave
・New Year Holiday
・Special Paid Leave
・Congratulations & Condolence Leave
・Summer Holiday
【Welfare】
・Commuting allowance
・Comprehensive social insurance
・Subsidies for books, IT equipment, etc
・Expense coverage for work-related seminars, study groups, and conferences
・Subsidies for online courses (Udemy, Udacity, etc.) and qualification acquisition
・Side jobs permitted
・Stock option program
・15% rule
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