AI ML Engineer

Rizviz; Lahore; On-site; PKR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

Career advancement opportunities

Collaborative work environment

Job summary

A leading AI company in Lahore is hiring multiple AI/ML Engineers with full-stack expertise. Ideal candidates should have a degree in Computer Science and strong programming skills in Python, along with experience in ML frameworks like TensorFlow and PyTorch. The team works on cutting-edge AI/ML projects, offering competitive compensation and a collaborative environment for career advancement. Opportunities are available for specialization in areas including NLP, Computer Vision, and MLOps.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong programming skills in Python are essential.
• Hands-on experience with major ML frameworks like PyTorch or TensorFlow.

Responsibilities

• Develop and deploy machine learning models for real-world applications.
• Maintain end-to-end ML pipelines including data preprocessing.
• Implement MLOps best practices like CI/CD for ML.

Skills

Python programming

Machine Learning frameworks

Problem-solving

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Overview

Were Hiring: 3–5 AI/ML Engineers (Full-Stack AI Expertise) for our LHR office

Location: [On-site]

Employment Type: Full-time

Positions Open: 1 Engineer

Experience Level: Mid to Senior

About the Opportunity

We are expanding our AI engineering team and are looking to hire 3–5 talented AI/ML Engineers with strong, practical fluency across the core disciplines of Artificial Intelligence. You will join a fast-growing group that builds scalable, production-ready AI systems using cutting-edge tools and methodologies.

Were seeking engineers who understand the full AI lifecycle—from data to deployment—and who are excited to collaborate, innovate, and deliver high-impact AI solutions.

Key Responsibilities

• Develop, train, evaluate, and deploy machine learning and deep learning models for real-world applications.
• Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, experimentation, and production deployment.
• Work extensively with Python, TensorFlow, PyTorch, scikit-learn, and modern AI frameworks.
• Apply techniques across:
  • Supervised & Unsupervised Learning
  • Deep Learning (CNNs, RNNs, Transformers)
  • NLP, Computer Vision, Speech & Multimodal AI
  • Reinforcement Learning
  • Generative AI and LLM-based solutions
• Participate in data engineering tasks such as ETL workflows, dataset curation, and feature store management.
• Implement MLOps best practices including model versioning, CI/CD for ML, monitoring, and performance tracking.
• Collaborate with cross-functional teams to translate requirements into scalable AI solutions.
• Keep up with advancements in AI tooling, architectures, and production techniques.

Qualifications (for all positions)

• Bachelors degree in Computer Science, Software Engineering, Data Science, Electrical/Computer Engineering, or a related technical field.
• Strong programming skills in Python.
• Hands-on experience with at least one major ML framework (PyTorch, TensorFlow, or JAX).
• Experience deploying models in cloud environments (AWS, Azure, or GCP) and containerized systems (Docker, Kubernetes).
• Solid understanding of:
  • Probability, statistics, and optimization
  • Neural networks and ML fundamentals
  • Data structures and algorithms
• Experience with LLM fine-tuning, vector databases, or RAG pipelines is a plus (not required).
• Strong analytical, problem-solving, and communication skills.

Why Join Us?

• Join a rapidly growing AI team with multiple openings and room for career advancement.
• Work on impactful AI/ML projects using cutting-edge tools and infrastructure.
• Competitive compensation and benefits package.
• Collaborative, high-energy environment where your ideas and expertise matter.
• Opportunities to specialize in areas of interest (NLP, Computer Vision, MLOps, Generative AI, etc.).