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Machine Learning Engineer

Software   Concept   Sustained growth   

A Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and systems that enable computers to learn from data and make predictions or decisions without being explicitly programmed.


Track this trend
(Monitor this trend over time)


 12 Months
Average: 61.87%
Trend: growing
MOM change: 0.82%
 5 Years
Average: 38.75%
Trend: growing
MOM change: 3.46%

Top reasons why this topic is getting popular

1. Growing Demand for AI and ML

As the demand for artificial intelligence and machine learning continues to grow across industries, the need for skilled professionals who can design and implement these systems is also increasing. Machine Learning Engineers are in high demand due to their expertise in building and deploying machine learning models.

2. Complexity of Machine Learning Models

Machine learning models can be complex and require specialized knowledge to design and implement. Machine Learning Engineers have the skills and expertise to build and deploy these models, ensuring they are accurate, efficient, and scalable.

3. Integration with Big Data

Machine learning models often require large amounts of data to train and improve their accuracy. Machine Learning Engineers are skilled in working with big data technologies and can integrate machine learning models with data storage and processing systems.

4. Automation and Efficiency

Machine learning models can automate tasks and improve efficiency in many industries, from healthcare to finance to manufacturing. Machine Learning Engineers can design and implement these systems, improving productivity and reducing costs.

5. Innovation and Advancements

As machine learning technology continues to advance, there is a need for professionals who can stay up-to-date with the latest developments and apply them to real-world problems. Machine Learning Engineers are at the forefront of innovation in this field, driving advancements and pushing the boundaries of what is possible.

Who's talking about this trend?

1. Andrew Ng (@andrewng)

Founder of Coursera and deeplearning.ai, sharing his expertise in machine learning on his Instagram account.

2. Ian Goodfellow (@goodfellow_ian)

Expert in machine learning and deep learning, sharing his knowledge and research on his Instagram account.

3. Rachel Thomas (@math_rachel)

Co-founder of fast.ai and teacher of practical deep learning on her Instagram account.

4. Yann LeCun (@yann_lecun)

Pioneer in deep learning and AI research sharing his insights on his Instagram account.

5. Kaggle (@kaggle)

Online platform for data science competitions, sharing success stories and tips for machine learning engineers on their Instagram account.