Job Description

Lead the next wave of AI at LimeoX. We’re hiring a Senior AI/ML Engineer who will serve as a team lead—owning architecture, mentoring engineers, and turning ideas into production‑ready systems. You’ll work on cutting‑edge projects across Large Language Models (LLMs), custom weightage models, clustering & classification, automation, and AI‑powered workflows.

Key Responsibilities

• Lead & mentor a small team of AI/ML engineers: task planning, code reviews, pair programming, and growth coaching.
• Own the technical roadmap & architecture for AI initiatives; translate business goals into measurable milestones and delivery plans.
• Build and fine‑tune weightage models and LLMs to solve real‑world business problems with great research skills.
• Design AI agents & automations and integrate workflows with Google Sheets/Docs via Apps Script.
• Develop custom prediction models; run comparative experiments and A/B tests to select the most effective approaches.
• Apply clustering and classification to discover patterns, generate insights, and support decision‑making.
• Develop, optimize, and maintain data pipelines (ETL) and system integrations for training and deployment; implement feature stores where needed.
• Collect/scrape and preprocess data ethically using tools like Selenium and Playwright.
• Deploy, monitor, and continuously retrain models; establish MLOps best practices (CI/CD, model registry, observability, drift detection).
• Collaborate cross‑functionally with product and operations; communicate trade‑offs, risks, and results clearly to stakeholders.
• Manage real‑time project execution, ensuring timely delivery, quality control, and alignment with business goals.

Requirements

• At least 3–4 years of professional AI/ML experience after completing a graduate degree, with hands-on delivery of models to production.
• Strong Python skills and experience with TensorFlow, PyTorch, and scikit‑learn.
• Demonstrated experience with weightage‑based algorithms and LLM fine‑tuning.
• Solid understanding of clustering & classification techniques and their evaluation.
• Proficiency in automation via Google Apps Script.
• Knowledge of web scraping tools (e.g., Selenium, Playwright) and data preprocessing.
• Experience with databases (PostgreSQL, MySQL, MongoDB); solid SQL and schema design.
• Familiarity with asynchronous programming and multi‑threading.
• Leadership qualities: has led projects/teams, mentored engineers, managed delivery timelines, and set engineering standards.
• Strong research skills, bias toward ownership, and the ability to work independently.
• A first‑principles thinker who frames problems well and communicates trade‑offs.
• Strong knowledge of GPU and computer hardware (both local and virtual environments) for training, optimization, and scaling.

Preferred Qualifications

• MS in Computer Science, AI, Data Science, or a related field (preferred).
• Experience with cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure ML).
• Contributions to open‑source AI/ML projects.
• Working knowledge of MLOps practices (Docker/Kubernetes, CI/CD, model registry, feature stores, monitoring, A/B testing).
• Hands‑on experience with vector databases (e.g., FAISS, pgvector, Pinecone) and LLM evaluation frameworks.

Salary & Benefits

Salary: 150,000 – 250,000 PKR/month

Growth: Exponential, based on dedication, research output, and measurable business impact.

Stability: Long‑term role with clear opportunities for technical leadership and ownership of flagship AI projects.