Remote★Senior MLOps

求人詳細

As a Senior MLOps Engineer, you will be at the forefront of deploying, optimizing, and monitoring LLMs in production environments. Your role will involve building and maintaining scalable pipelines, ensuring low-latency inference, and implementing best practices in monitoring and observability. You will also work with state-of-the-art tools like Hugging Face and MLFlow to fine-tune models and integrate them into robust AI solutions.


■Key Responsibilities
Model Deployment & Management
・Develop and maintain scalable pipelines for deploying LLMs, focusing on efficient, low-latency inference.
・Utilize tools like Hugging Face and MLFlow for seamless model integration and version control.
・Automate deployment processes, including model validation and continuous integration.

Monitoring & Observability:
・Implement comprehensive monitoring frameworks to track performance and reliability of models in production.
・Use advanced observability tools to proactively detect and address performance issues.
・Deploy alerting systems to ensure rapid response to anomalies in model behavior.

Infrastructure Optimization:
・Architect and optimize cloud and on-premise infrastructure to support large-scale LLM operations.
・Collaborate with cloud providers like AWS, Azure, and GCP to optimize costs and performance.
・Work with backend engineers to ensure smooth integration of AI models into conversational platforms.

Collaboration & Documentation:
・Partner with AI engineers and data scientists to align on project objectives and deployment strategies.
・Document MLOps processes, best practices, and tools to maintain operational excellence.
・Provide training and support to team members on MLOps methodologies and tools.

If you are interested in this exciting opportunity, apply now.
We look forward to hearing from you.

こんな方を求めています

経験・スキル

■What You’ll Need
Experience
・5+ years of experience in MLOps, DevOps, or related fields, with a focus on deploying and managing LLMs or other large-scale machine learning models.
・Proven experience with tools like Hugging Face, MLFlow, and containerization technologies (Docker, Kubernetes).
・Strong experience with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform).
・Hands-on experience in reducing inference latency and optimizing AI infrastructure.

Technical Skills:
・Proficiency in Python, with experience in ML libraries such as TensorFlow, PyTorch, and related frameworks.
・Expertise in CI/CD pipelines, version control (Git), and orchestration tools.
・Familiarity with Generative AI, prompt engineering, and deploying models at scale.

Soft Skills:
・Excellent problem-solving skills with the ability to tackle complex challenges independently.
・Strong communication skills, with the ability to translate technical concepts for non-technical stakeholders.
・A proactive mindset with a focus on continuous learning and staying updated with industry trends.

学歴

大学卒業以上

募集要項

職種

システム開発（Web・オープン・モバイル系）

給与

年収 1,000 〜 1,300万円

賞与

Performance based

雇用形態

正社員

雇用期間

期間の定めなし

試用期間

有り

就業時間

09:00～18:00

休日休暇

土曜日　日曜日　祝日

保険

健康保険　厚生年金保険　雇用保険

受動喫煙防止措置

敷地内禁煙

特長

服装自由, 女性比率4割以上, ベンチャー企業, 年間休日120日以上, 土日祝休み, 語学力を活かす

業種

ソフトウェア・情報処理

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