Machine Learning Engineer

Who are we?

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.

Your skillset

• 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.