Machine Learning Engineer

7Vals; Lahore; On-site; PKR 2,750,000 - 3,500,000; Full time

Job summary

A leading SaaS company based in Lahore is seeking a Deep Learning Engineer to enhance products through AI/ML. The role involves developing pipelines for large-scale data and optimizing models. Candidates should have 2-3 years of experience in deep learning and a solid engineering background, along with proficiency in programming. Attractive opportunities await in a fast-paced environment.

Qualifications

• 2-3 years of proven experience in deep learning or machine learning.
• Ability to develop production-ready services.
• Experience in parallel processing with GPUs.

Responsibilities

• Develop pipelines capable of handling large-scale deep learning data.
• Conduct experiments for hypothesis testing.
• Continuous optimization of models and systems.

Skills

Implement machine learning algorithms

Understanding of statistics

Solid engineering background

Proficiency in object-oriented programming

Building efficient systems

Job description

We build cutting edge Cloud-based solutions used by over 15,000 companies worldwide, primarily in the US, Australia, and Canada. Our goal is to be the leading SaaS provider for enterprises. Our clients include NASA, 3M, Disney, Amazon, and more.

We're seeking Deep Learning Engineers to enhance our products through AI/ML for recommendations, pattern recognition, and creating smarter systems to boost efficiency.

Requirements:

• Implement machine learning algorithms effectively
• Strong understanding of statistics and deep learning fundamentals
• Solid engineering background with the ability to develop production-ready services
• Proficiency in an object-oriented programming language
• Experience in building efficient, optimized systems, including parallel processing with GPUs for fast response times
• At least 2-3 years of proven experience in deep learning or machine learning

Responsibilities:

• Develop pipelines capable of handling large-scale deep learning data
• Conduct experiments for hypothesis testing
• Continuous optimization of models and systems