Machine Learning Engineer - Discover Your Path to Career Success (2025)

Colleagues, did you know that the Machine Learning market size and growth was valued $36.73 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 34.8% from 2023 to 2030 according to Grand View Research? Visit the Stack Overflow Machine Learning community for more career and networking details. 

Job Titles: Machine Learning Engineer, AI/ML Engineer, Senior Machine Learning Engineer, Applied Machine Learning Engineer and Research Machine Learning Engineer. 

Salaries: BuiltIn, Glassdoor, Indeed, Levels.fyi, and PayScale

Career Opportunities: Dice, Indeed, LinkedIn, Monster, Simply Hired, and Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Data Structures, Algorithms, and Machine Learning Optimization (https://tinyurl.com/yc2dfb8f) 

• Deep Learning with TensorFlow & PyTorch (https://tinyurl.com/y6tzewpp) 

• Deep Learning with Tensorflow, Keras and PyTorch (https://fxo.co/EJMp) 

• Machine Learning with PyTorch (https://tinyurl.com/szmb6cl)

• Structuring Machine Learning Projects (https://imp.i384100.net/RGPGQa) 

Begin your path to success today, Lawrence E. Wilson - AI Academy (share with colleagues & friends)

Algorithms - Training (Princeton University)

Colleagues, the “Algorithms” program covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. Gain high-demand skills in Algorithms, Computer Programming, Data Structures, Problem Solving, Programming Principles, Theoretical Computer Science, and Critical Thinking. Skill-based training modules include: 1) Union−Find, 2) Analysis of Algorithms, 3) Stacks and Queues, 4) Elementary Sorts, 5) Mergesort, 6) Quicksort, 7) Priority Queues, 8) Elementary Symbol Tables, 9) Balanced Search Trees, 10) Geometric Applications of BSTs, 11) Hash Tables, and 12) Symbol Table Applications. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/BnbD7y 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

ChatGPT Complete Guide: Learn Midjourney & ChatGPT (training)

Colleagues, the “ChatGPT Complete Guide: Learn Midjourney, ChatGPT” program will equip you with 25+ Generative AI Tools to 10x grow your Business, Productivity, Creativity | GenAI, ChatGPT, CustomGPTs, Prompt Engineering. Learn to create content, synthesize information, and learn faster than ever with effective prompt engineering, turn your creativity into paid work, generate fresh ideas, reach new audiences, and scale your projects, achieve your goals faster with ChatGPT, manage your time, prioritize tasks, and create an optimized daily schedule, generate targeted content with ChatGPT, capitalize on trends, create ads, newsletters, and media campaigns, improve your communication, leadership, problem-solving, and social skills with personalized ChatGPT feedback, easily create AI-generated speech for any use case and even clone your own voice entirely. [405 lectures • 25 hours 25 minutes of teaching]. Skill-based training modules include: 1) ChatGPT Complete Guide Introduction, 2) ChatGPT: Fundamentals and 150+ Prompting Ideas for ChatGPT, 3) ChatGPT: Prompt Engineering and Custom, 4) ChatGPT: Enhancements, Extensions, and Advanced Features, 5) ChatGPT: Simplify Complex Information, Instantly Proofread, and Re-Organize Data, 6) ChatGPT: Content Creation, Social Media, Copywriting, SEO, and Video Scripts, 7) ChatGPT: Self-Guided Learning, Qualitative and Quantitative Research, 8) Custom GPTs: Create Your Own Custom Versions of ChatGPT, 9) CustomGPTs (Previously Plugin Store): Improve ChatGPT with CustomGPTs, 9) ChatGPT Mobile App: Access the Power of ChatGPT from Your Phone, 10) ChatGPT: How LLM's Work, How GPT Was Trained, and How GPT Generates Outputs, 11) ChatGPT: Real World Use Cases, Spreadsheets, and Training ChatGPT on Writing, 12) ChatGPT: API Key Setup and Building Intelligent Assistants, 13) Gemini: AI-Powered Google Workspace Built Into Gmail, Docs, Sheets, and More, 14) Bing: AI-Powered Search, Chat Using GPT-4, and Image Creation, 15) Notion AI: Write Faster, Use AI Templates, Organize Everything In One Place, 16) Perplexity.AI: For Research and Writing, 17) Google's Vertex AI: Model Customization, Training, and Deployment, 18) Microsoft Copilot: Integrated AI Workflow, 19) Google Gemini: Fundamentals and Creative Text Generation, 20) Make.com: Create Advanced Time Saving Automations, 21) Midjourney: Setup, Settings, Workflow, Commands, Prompting, and Stylization - Reiterating, Upscaling, Aspect Ratios, and Remixing, Advanced Parameters, Editing Your Photos with Midjourney, Product Photography, Landing Pages, and Blending Two Images Together, 22) Adobe Firefly: Generative Art, Text to Image, Re-coloring, and Text Effects - Photoshop AI: Remix, Regenerate, and Reinvent your Images, 23) DALL-E 2: Keyboard Shortcuts, Inpainting, Outpainting, and Image Blending … and much more.

Enroll today (teams & executives are welcome): https://tinyurl.com/4nf3s8f3 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

AI for Everyone (training)

Colleagues, in the “AI for Everyone” program you will become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. Learn the meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science, What AI realistically can--and cannot--do, How to spot opportunities to apply AI to problems in your own organization, What it feels like to build machine learning and data science projects, How to work with an AI team and build an AI strategy in your company and How to navigate ethical and societal discussions surrounding AI. Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI. Skill-based lessons include: 1) What is AI? - Machine Learning, What is data?, The terminology of AI, What makes an AI company?, What machine learning can and cannot dos, More examples of what machine learning can and cannot dos, Non-technical explanation of deep learning, 2) Building AI Projects - Workflow of a machine learning project, Workflow of a data science project, Every job function needs to learn how to use data, How to choose an AI project, How to choose an AI project, Working with an AI team, Technical tools for AI teams, 3) Building AI In Your Company - Case study: Smart speaker, Case study: Self-driving car, Example roles of an AI team, AI Transformation Playbook, AI Transformation Playbook, AI pitfalls to avoid, Taking your first step in AI, Survey of major AI application areas, Survey of major AI techniques, and 4) AI and Society - A realistic view of AI, Discrimination/Bias, Adversarial attacks on AI, Adverse uses of AI, AI and developing economies, and AI and jobs.  

Enroll today (teams & execs welcome): https://imp.i384100.net/4P4qr9 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Artificial Intelligence - Discover the Top 3 Career & Earnings Growth Strategies for 2025

Colleagues, on average an AI Software Engineer earns $161k+ USD in the US according to Glassdoor. The first strategy is to Get Certified: A high quality cert from a reputable vendor or professional association can boost your income by 10%+. Topping our list is the “Generative AI for Everyone” program taught by AI pioneer Andrew Ng (437k students enrolled). Second is the Artificial Intelligence A-Z: Build 7 AI + LLM & ChatGPT, the most popular AI course on Udemy. Coming in third is Introduction to Artificial Intelligence with Python from HarvardX with some 1.9m enrollees. Second, Get Published: Write a series of posts or articles on Best Practices, Industry Trends and Emerging Technologies, and publish on DevPlan’s GCP portal, Medium, LinkedIn Articles, Reddit or Technology.org. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on expertise. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on prowess. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. And third, Get Connected: Professional networking and referrals are the most effective method for landing your dream job - within your current employer or at a new company (rather than simply applying for jobs online and standing in the Human Resources queue with the masses). Join and participate in 2-3 high profile groups or professional associations. Examples include: Hugging Face, Discord and Reddit’s AI sub-Reddit.

Get started today by enrolling in one or more training-certification programs:

• Generative AI for Everyone (https://imp.i384100.net/9gKrZ4) 

• Artificial Intelligence A-Z: Build 7 AI + LLM & ChatGPT (https://tinyurl.com/yc3t9v7y)

• Introduction to Artificial Intelligence with Python (http://edx.sjv.io/qz4bKq) 

Success awaits you! Lawrence E. Wilson - AI Academy (share & subscribe)

Machine Learning - Discover the Top 3 Career & Earnings Growth Strategies for 2025

Dev Colleagues, on average a Machine Learning Engineer earns $167k USD in the US according to Glassdoor. The first strategy is to Get Certified: A high quality credential from a reputable vendor or professional association can boost your income by 10%+. Topping our list is the popular Supervised Machine Learning: Regression and Classification program with some 814k students enrolled. Next is the Structuring Machine Learning Projects (481k enrollees). Third is the Convolutional Neural Networks program from DeepLearning.AI (526k enrolled). Second, Get Published: Write a series of posts or articles on Best Practices, Industry Trends and Emerging Technologies, and publish on DevPlan’s GCP portal, Medium, LinkedIn Articles, Reddit or Technology.org. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on expertise. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on prowess. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. And third, Get Connected: Professional networking and referrals are the most effective method for landing your dream job - within your current employer or at a new company (rather than simply applying for jobs online and standing in the Human Resources queue with the masses). Join and participate in 2-3 high profile groups or professional associations. Hugging Face is an excellent starting place. Consider the Machine Learning Society on LinkedIn. And explore Reddit’s Machine Learning sub-Reddit (2.9m members)

Get started today by enrolling in one or more training-certification programs:

• Supervised Machine Learning: Regression and Classification (https://imp.i384100.net/555bxN) 

• Structuring Machine Learning Projects (https://imp.i384100.net/RGPGQa) 

• Convolutional Neural Networks (https://imp.i384100.net/YRRxkK) 

Success awaits you! Lawrence E. Wilson - AI Academy (share & subscribe)