Senior ML Engineer Infrastructure & Data Systems - Arbisoft

Taraki; Lahore; On-site; PKR 3,600,000 - 6,000,000; Full time

Job summary

Arbisoft in Lahore seeks a Senior ML Engineer focused on Infrastructure & Data Systems to build and maintain production ML pipelines. The role emphasizes development of CI/CD, scalable cloud ML systems, and robust infrastructure.

Expect hands-on work with Docker Swarm, Kubernetes, and model tooling. You will collaborate with data scientists, product managers, and engineers to deploy AI solutions, ensure reliability, and optimize data processing tasks across environments.

Qualifications

• 5 years of industry experience building and shipping software.
• BS in Computer Science or masters.
• Strong command of CI/CD workflows, GitHub Actions, Docker, and infra automation.
• Solid experience with Kubernetes and Docker Swarm deployment setups.
• Good working knowledge of SQL and data processing.
• Strong code engineering fundamentals, able to read, debug, and maintain unfamiliar code.
• Track record of addressing tech debt, not avoiding it.
• Excellent communication skills to explain tradeoffs to non-technical stakeholders.

Responsibilities

• Build and maintain CI/CD pipelines with GitHub Actions.
• Design and manage deployment configurations for Docker Swarm and Kubernetes.
• Evaluate ML/DL models using PyTorch, TensorFlow, or similar frameworks.
• Build and optimize LLM-based systems with prompt-tuning and adapters (e.g., LoRA, QLoRA).
• Own infrastructure automation and apply DevOps practices across environments.
• Set up and maintain production monitoring for services.
• Write automated tests and scalable testing frameworks.
• Troubleshoot and maintain complex codebases; improve them.
• Identify and resolve technical debt.
• Work with SQL and handle data processing tasks as needed.
• Train simple ML models (e.g., regression) when required.
• Develop robust RAG pipelines; work with embeddings and vector databases.

Skills

CI/CD workflows

GitHub Actions

Python

Docker

Kubernetes

SQL

Data processing

ML/DL frameworks

DevOps practices

Communication

RAG pipelines

Vector databases

Education

BS in Computer Science

MS in CS or related field

Tools

Docker Swarm

Kubernetes

FAISS

Pinecone

Weaviate

LoRA

Job description

Our client Arbisoft is hiring a Senior ML Engineer Infrastructure & Data Systems in Lahore.

We're looking for a Senior Machine Engineer with around 5 years of hands-on experience building, shipping, and maintaining production software, and deploying cutting-edge AI solutions. The ideal candidate brings deep expertise in Python, transformers, and scalable cloud-based ML systems. This is an engineering-first role, the majority of your time will go into infrastructure, CI/CD, and platform reliability.

Our client Arbisoft is hiring a Senior ML Engineer Infrastructure & Data Systems in Lahore.

We're looking for a Senior Machine Engineer with around 5 years of hands-on experience building, shipping, and maintaining production software, and deploying cutting-edge AI solutions. The ideal candidate brings deep expertise in Python, transformers, and scalable cloud-based ML systems. This is an engineering-first role, the majority of your time will go into infrastructure, CI/CD, and platform reliability.

What you'll be doing

• Building and maintaining CI/CD pipelines using GitHub Actions
• Designing and managing deployment configurations for Docker Swarm and Kubernetes,
• evaluate ML/DL models using PyTorch, TensorFlow, or similar frameworks.
• Build and optimize LLM-based systems, including prompt-tuning, fine-tuning, and adapter-based training (e.g., LoRA, QLoRA).
• Owning infrastructure automation and applying solid DevOps practices across environments
• Setting up and maintaining monitoring for services running in production
• Writing automated tests and building testing frameworks that scale with the codebase
• Troubleshooting and maintaining complex, sometimes messy codebases and improving them
• Actively identifying and resolving technical debt
• Working with SQL and handling data processing tasks as needed
• Occasionally training simple ML models (e.g. regression models in PyTorch)
• Can develop robust and scalable RAG pipelines. In-depth knowledge of embeddings and can work with vector databases like FAISS, Pinecone, Weaviate, etc.
• Communicating clearly and consistently with engineers, data scientists, product managers, and business stakeholders

What we're looking for

• 5 years of industry experience building and shipping software
• BS in Computer Science or masters
• Strong command of CI/CD workflows, GitHub Actions, Docker, and infrastructure automation
• Solid experience with Kubernetes and Docker Swarm deployment setups
• Good working knowledge of SQL and data processing
• Strong code engineering fundamentals, can read, debug, and maintain codebases you didn't write
• A track record of dealing with tech debt, not just avoiding it
• Excellent communication skills who can explain technical tradeoffs to non-technical stakeholders and stay aligned with cross-functional teams over time

Communication & Ownership Expectations

• Understand the task fully and clarify uncertainties upfront
• Create and maintain a clear ticket, aligned with the team on scope
• Set an estimate once scoped
• Flag blockers early and communicate delays as soon as they arise
• Let the team know if you finish early
• Share at least a weekly update, more often when there are significant changes