Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at Conrad Labs

Join to apply for the Machine Learning Engineer role at Conrad Labs

Get AI-powered advice on this job and more exclusive features.

Conrad Labs is a cutting-edge software technology company with hubs in Lahore, Karachi, and Austin, Texas. We're a team of passionate and talented individuals who love to tackle complex challenges using the latest technologies. Our mission is to develop innovative products that make a real-world impact. We've made our mark in core cloud infrastructure management, healthcare, and AI/ML-based training and education.

About the role

We are looking for a highly skilled and motivated Machine Learning Engineer to join our team. The ideal candidate will have 3 to 8 years of hands-on experience designing, developing, and deploying ML solutions in real-world settings. You will work closely with product teams, and software engineers to build scalable ML systems that drive impact.

What will you do?

• Design, build, and deploy production-grade machine learning models.
• Partner with cross-functional teams to identify business needs and translate them into ML solutions.
• Own the entire ML pipeline — from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
• Continuously optimize model performance, ensuring scalability and reliability in production environments.
• Maintain and improve existing ML pipelines and infrastructure.
• Write clean, efficient, and well-documented code that adheres to best practices.

What you will bring to the table?

• Ownership Mentality: You take initiative, follow through on responsibilities, and are not afraid to lead when needed.
• Collaborative Attitude: You thrive in team settings, contributing positively and respectfully while aligning with shared goals.
• Clear Communication: You can convey complex ideas effectively, both in writing and in conversation, across technical and non-technical audiences.
• Technical Rigor: You have strong fundamentals in algorithms, data structures, and ML workflows, enabling you to solve tough problems efficiently.
• Product Thinking: You understand the impact of ML systems on user experience and business metrics.
• Adaptability: You are comfortable working in ambiguity and iterating based on feedback and experimentation.
• Scalability Focus: You know how to build ML systems that are production-ready, resilient, and scalable.
• Learning Mindset: You stay up-to-date with the evolving ML ecosystem and are excited to explore new tools and methodologies.
• BS/MS in Computer Science or a related field.
• 3–8 years of hands-on experience in machine learning and software development.
• Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of data structures, algorithms, and software engineering principles.
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Skilled in handling large datasets and using data processing tools like Pandas or Spark.
• Experience deploying ML models in production (e.g., via REST APIs or batch inference pipelines).
• Strong problem-solving skills and ability to work independently and collaboratively.

Preferred Qualifications:

• Experience with computer vision.
• Exposure to MLOps practices and CI/CD for ML workflows.
• Knowledge of experiment tracking and A/B testing for model validation.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionConsulting, Engineering, and Strategy/Planning
• IndustriesSoftware Development and IT Services and IT Consulting

Referrals increase your chances of interviewing at Conrad Labs by 2x

Get notified about new Machine Learning Engineer jobs in Lahore, Punjab, Pakistan.

Associate Software Engineer (Python + Fast API)Associate Software Engineer - Open StackSenior Software Engineer - Python (Django)Senior AI/ML Engineer (Healthcare Industry)

Lahore District, Punjab, Pakistan 2 days ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

---