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Machine Larning Engineer Jobs

Machine Learning Engineer Jobs: A Complete Guide to 2025
Machine Learning / AI Engineer – An Emerging Career
Artificial Intelligence and Machine Learning engineer jobs are no longer just buzzwords. They have now become the backbone of every major company, every technology platform, and every industry. As a result of these changes, the job of “Machine Learning Engineer Jobs / AI Engineer” has become one of the most in-demand jobs worldwide.

Statistics:

LinkedIn has ranked AI Engineer among the top 5 emerging jobs of 2025.

According to Gartner, 2.3 million new AI-related jobs will be created by 2025.

The average salary for a Machine Learning Engineer jobs in the USA alone is $140,000 per year.

ML/AI Engineer Job Description

Key Responsibilities:
Clipping, cleaning, and preparing data

Training and validating algorithms

Deploying machine learning models

Building and maintaining ML pipelines

Collaborating with product team, developers, and data scientists

Skills:

Python, TensorFlow, PyTorch

Data Structures & Algorithms

SQL, Git, REST APIs

Cloud Platforms (AWS, GCP, Azure)

Model tuning, evaluation metrics, and deployment

Demand for ML/AI Engineers Worldwide
1. United States (USA)
Companies: Google, Microsoft, Meta, Amazon

Jobs: AI Engineer, NLP Expert, Deep Learning Specialist

Salary: $120,000 – $250,000 per year

Europe
Companies: DeepMind (UK), SAP, Siemens, Ericsson

Jobs: Applied Scientist, ML Developer

Trends: Robotics, AI Ethics

Asia (China, India, Singapore)
More focus on AI startups

Jobs: CV Engineer, Generative AI Developer

Pakistan
Companies: Systems Ltd, Careem, Daraz, Tkxel

The market is growing rapidly

Salaries: PKR 60,000 – 300,000+ (depending on experience)

Chapter 4: Types of ML/AI Jobs
Job Title Brief Description
ML Engineer Build, train, and deploy models
Data Scientist Analyze data and extract useful insights from them
AI Researcher Research new algorithms and frameworks
NLP Engineer Work on language-based AI models (e.g. ChatGPT)
Computer Vision Engineer Extract data from images and videos
MLOps Engineer Automation and scalability of models
Prompt Engineer Create creative content with Generative AI models

Tech Stacks in high demand:

Programming:
Python, Java, R, Julia

ML Libraries:

Scikit-learn, PyTorch, TensorFlow, Keras

Cloud:

AWS SageMaker, Google Vertex AI

Deployment:

Docker, Kubernetes, Flask, FastAPI

Tools:

MLflow, Git, DVC, Apache Airflow

Data:

SQL, Pandas, Snowflake, MongoDB

Sources for Getting Jobs

International Job Sites:
LinkedIn Jobs

Indeed

Glassdoor

Toptal (Remote Freelance)

RemoteOK & AngelList (Startups)

Pakistani Platforms:
Rozee.pk

Mustakbil.com

TechJuice Jobs

PakLaunch Discord & LinkedIn

PIAIC & Saylani’s Own Networks

Chapter 7: Steps to Get a Job

Professional Resume – ATS friendly, keyword-rich

GitHub Projects – Code samples, readme should be clear

LinkedIn Profile – AI relevant endorsements, posts

Mock Interviews – Exponent, Pramp, Interviewing.io

Practice – Coding + ML problems on Leetcode / HackerRank

How to get Freelance ML Jobs?
Top Platforms:
Fiverr: Custom ML Solutions, Chatbot Dev

Upwork: CV/NLP projects, Predictive Modeling

PeoplePerHour & Guru: Mid-level AI gigs

Freelancing Tips:

Clear Gig Description

Include sample outputs

Maintain delivery timelines

Path for Fresh Graduates and Beginners

Actions To Take:
Learn Python and understand the fundamentals of ML

Do 5–7 mini projects: e.g. Titanic, MNIST, House Prices

Participate in Competitions on Kaggle

Create a GitHub portfolio

Do an internship (at PIAIC, NUST, Systems Ltd)

Grab freelance projects

Chapter 10: Common Interview Questions
ML Questions:
What is overfitting? How to avoid it?

Explain Gradient Descent.

Difference between Bagging and Boosting

What is ROC-AUC? F1-Score?

Coding:
Array manipulation, sorting, searching (Leetcode style)

SQL Queries

Time complexity analysis

Behavioral:

Tell me about a time when a model failed

How do you validate ML performance in production?

New types of ML Jobs after 2025
AI Prompt Engineer (for tools like ChatGPT / Midjourney)

RLHF Engineer – LLM training with human feedback

AI Ethicist – Model fairness, privacy, and bias mitigation

GenAI Product Manager – Working on AI-based SaaS products

AI Auditor – Model transparency & regulation

True stories of successful ML/AI job seekers

1. Ali Raza (Lahore → Remote in Dubai)
“I completed the PIAIC course, uploaded 10 projects on GitHub, and then got a remote ML job from LinkedIn. Today I am earning AED 18,000 per month.”

Fatima Yousuf (FAST grad → Upwork Freelancer)
“First sold $50 gigs on Fiverr, then got a long-term NLP contract from a US client.”

Bantija – The Future of ML/AI Jobs
Machine Learning and