Senior ML Infrastructure & Platform Engineer

Arbisoft; Lahore; On-site; PKR 2,000,000 - 3,500,000; Full time

Job summary

Arbisoft is seeking a Senior Machine Engineer to build, ship, and maintain production software with a focus on cutting‑edge AI solutions. You will own CI/CD pipelines, deployment configurations for Docker Swarm and Kubernetes, and robust ML/DL model evaluation.

The role emphasizes infrastructure, reliability, and scalable testing in a production environment. The ideal candidate has about 5 years of hands‑on experience with Python, transformers, and cloud‑based ML systems, plus strong

Qualifications

• 5+ years of industry experience building and shipping software.
• Degree in Computer Science or related field.
• Strong CI/CD and cloud infrastructure experience.

Responsibilities

• Build and maintain CI/CD pipelines and deployment configs for Docker Swarm and Kubernetes.
• Evaluate ML/DL models using PyTorch, TensorFlow, or similar frameworks.
• Develop and optimize LLM-based systems, including prompt tuning and adapter training.
• Own infrastructure automation and DevOps practices across environments.
• Set up monitoring for services in production and write scalable tests.
• Address technical debt and improve messy codebases.
• Work with SQL and data processing tasks as needed.

Skills

CI/CD workflows

GitHub Actions

Docker

Kubernetes

PyTorch

TensorFlow

LLM systems

RAG pipelines

Embeddings

Vector databases

SQL

DevOps practices

Testing frameworks

Code debugging

Education

BS in Computer Science

Masters in Computer Science

Tools

FAISS

Pinecone

Weaviate

Job description

Arbisoft is seeking a Senior Machine Engineer to build, ship, and maintain production software with a focus on cutting‑edge AI solutions. You will own CI/CD pipelines, deployment configurations for Docker Swarm and Kubernetes, and robust ML/DL model evaluation.

The role emphasizes infrastructure, reliability, and scalable testing in a production environment. The ideal candidate has about 5 years of hands‑on experience with Python, transformers, and cloud‑based ML systems, plus strong