Senior MLOps Engineer — AI Platform & RAG Architect

OBSS; Fatih; On-site; TRY 180,000 - 260,000; Full time

Job summary

OBSS seeks an MLOps Engineer to design, deploy and maintain enterprise-scale ML pipelines and AI-powered applications. You will collaborate with data scientists, software engineers and operations teams to build, deploy, and maintain scalable ML pipelines and infrastructure that power cutting-edge AI solutions.

The role requires 6+ years in AI/ML or software engineering, strong Python expertise, and hands-on experience with LLM deployment, RAG solutions, and modern serving techniques.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• Minimum 6+ years of experience in AI, Machine Learning, or Software Engineering, with strong expertise in Large Language Models (LLMs).
• Strong proficiency in Python and experience designing and developing enterprise-grade AI applications.

Responsibilities

• Design and develop enterprise-scale LLM solutions and AI-powered applications aligned with business needs.
• Lead the architecture and implementation of scalable RAG solutions, continuously improving retrieval quality and response accuracy.
• Deploy, optimize, and manage self-hosted LLMs in production environments, ensuring high performance and scalability.
• Define architectural standards and best practices for LLM development, model serving, and AI application design.
• Improve inference performance through GPU optimization, batching, quantization, and modern LLM serving techniques.
• Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and microservice architectures.
• Mentor engineers, provide technical guidance, and support the adoption of AI engineering best practices across development teams.
• Evaluate emerging AI technologies, frameworks, and models, recommending innovative solutions that align with business objectives.

Skills

Python

LLMs

RAG systems

LangChain

LangGraph

CrewAI

Inference optimization

Docker

Kubernetes

AWS

Education

Bachelor's degree in CS/Engineering/ AI

Tools

MLflow

AWS

Kubernetes

Job description

OBSS seeks an MLOps Engineer to design, deploy and maintain enterprise-scale ML pipelines and AI-powered applications. You will collaborate with data scientists, software engineers and operations teams to build, deploy, and maintain scalable ML pipelines and infrastructure that power cutting-edge AI solutions.

The role requires 6+ years in AI/ML or software engineering, strong Python expertise, and hands-on experience with LLM deployment, RAG solutions, and modern serving techniques.