Who are Peterson Technology Partners?

Peterson Technology Partners, also known as PTP, is a staffing and consultancy firm, located in Chicago and operating globally. PTP specializes in providing IT staffing and talent supply management solutions.

What services does PTP offer?

PTP is known for sourcing best-in-class talent for the IT industry, specializing in the fields of Artificial Intelligence, Data Science, Cloud Computing, DevOps, and Cybersecurity.

What are the benefits of working with PTP?

PTP’s proprietary 5-step assessment process ensures that our clients receive only the absolute best-in-class talent for their staffing needs. Our 4-point promise to every client guarantees Quality, Speed, Agility, and Customization.

Do I have to pay for this service?

We require no payment from job-seekers. If you’re a job-seeker looking for your next great opportunity visit the Jobs page. If you’re an employer looking for top-tier talent to meet your staffing needs, Contact Us to start building your customized service plan.

Jobs in AI/ML - Hiring Artificial Intelligence & Machine Learning Engineers

Jobseeker Employer

Strong Demand for AI and ML Jobs

Current demand for AI and ML engineers is at a high, and this trend towards growth is expected to continue into the latter half of the decade. As technology becomes increasingly more integrated into daily life, AI and machine learning jobs are on the rise, and the need for skilled professionals who can work with and secure AI and ML systems is steadily rising.

Machine learning jobs can and do span many facets of a modern business, from entry level machine learning jobs on up to roles like Senior Machine Learning Engineer. As an entry level ML data scientist, you’ll get hands-on experience working with data scientists and artificial intelligence experts, building towards the skillset of a successful machine learning and data scientist. You can even focus on one specialty, contributing to the field as a machine learning researcher.

For candidates with experience in computer science, data science, or similar specializations, AI/ML jobs can offer exciting opportunities to work on cutting-edge technologies, solve complex problems, and have a significant impact on the world around them. Jobs in AI vary as widely as ML engineer jobs do, with experienced candidates able to impact the field as artificial intelligence software engineers or artificial intelligence research scientists.

Many companies are currently hiring machine learning engineers, so if you’ve ever wondered whether a career in this dynamic, fast-growing field is for you, read on and discover more about what you’ll need to start out.

Grow Your AI/ML Career

Have a passion for AI and Machine Learning?
Apply now and take the next step in growing your AI/ML career.

Apply Now

Why become an AI/ML Engineer?

AI engineer jobs let you put your technical and engineering skill set to work in the service of advancing the fields of artificial intelligence and machine learning engineering.

Shape the Future of AI

The AI field is tightly interwoven with today’s most cutting-edge emerging technologies. While that poses no small number of obstacles, people interested in artificial intelligence jobs understand this trade-off, seeking innovative solutions that move us further towards the future.

Use AI to Power Your Work

AI scientists know that this technology goes far beyond chatbots. The ability to digitize and automate once tedious, manual driven processes has appeal for companies in many industries. As AI becomes more incorporated into our workplace world, expect AI developer jobs to increase, both in-house and at dedicated AI companies.

Grow Your AI/ML Career

Have a passion for AI and Machine Learning?
Apply now and take the next step in growing your AI/ML career.

Apply Now

What skills do you need to work in AI/ML?

Here are a few of the skills that you’ll come to rely on in your future artificial intelligence jobs:

Programming languages
Grow your experience with programming languages to support your machine learning engineer career. Python, C++, JavaScript, Java, and Scala are some of the most common programming languages used in AI/ML coding.
Data engineering
The first step in machine learning development is pre-processing and storing raw data generated by your systems. Data engineering helps this process, along with many others, run smoothly.
Exploratory data analysis
Being able to perform an exploratory data analysis on a dataset allows you to discover interesting patterns, identify certain anomalies, and test out your hypotheses.
Models
If you want to become a machine learning engineer, you need to be proficient in machine learning algorithms, but you also need to know when to apply any given algorithm. For doing complex tasks (e.g., image classification, object detection, facial recognition, and others), you will need more complex “deep learning” algorithms.
Security
Managing security as a machine learning engineer is a mission-critical task. That’s because machine learning models require lots of data to fully train, and that data may potentially include sensitive information.

What are the future prospects for AI Machine Learning Engineers?

The outlook for artificial intelligence engineer jobs is bright. According to the US Bureau of Labor Statistics, employment in computing and information research is growing at a faster than average rate. With an average salary of over $100,000 per year, AI and ML jobs offer a lucrative and stable future.

Frequently Asked Questions

Is AI/ML a good career choice?
Yes, AI/ML is a good career path. Machine Learning Engineer roles have been identified as top jobs in the United States in terms of salary, growth of postings, and general demand.
What are some of the most common roles in AI/ML?
There are many career paths artificial intelligence and machine learning professionals can choose to take within the industry.
- Here are some examples of Artificial Intelligence jobs in the United States today:
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
What is the difference between AI, Machine Learning and Deep Learning?
Artificial Intelligence, Machine Learning, and occasionally, Deep Learning are closely related concepts sometimes used interchangeably when referring to the building blocks of automation.
- Artificial Intelligence: Artificial intelligence is a very broad term covering many facets of science, engineering, computing, and more. In a more specific sense, it’s a field of science dedicated to trying to make computers “think” in ways that humans might properly call cognition, and it only gets more complex from there on out.
- Machine Learning: Machine learning (ML) is a type of artificial intelligence programming that is focused on building applications that can use data to learn and become more accurate over time, without additional programming. To put it another way, machine learning is the science of getting computers to process data, make assumptions and act on them, without explicitly being told what to do.
- Deep Learning: Deep Learning is a subset of machine learning that can be considered an advancement in the field. In a sense: Deep learning is always considered to be a part of machine learning, but not every machine learning project or concern will involve deep learning.
- Deep learning is about using multiple layers of analysis to extract higher levels of understanding from data and uses what is known as an artificial neural network (ANN) to help computers process information the way a human brain would.
What are the job responsibilities of an AI/ML Software Engineer?
AI and ML engineer jobs involve many highly technological skills. Here are a few of the most common duties for AI and ML jobs:
- Devise methods for machine learning
- Refine existing training methodology using data science and analytics
- Improve existing ML libraries and tools
- Train ML systems and models
What are the qualifications required to become an AI/ML Developer?
To become an AI/ML developer, the qualifications are similar to those required by artificial intelligence engineer jobs. Some of the most commonly listed requirements are:
- A bachelor’s degree (typically in a STEM discipline)
- Optionally, a master’s degree in a STEM field
- Capability with Python, Lisp, R, C++, Java, or a number of other modern programming languages
- Sound understanding of logic and problem-solving concepts
- Ability to collaborate and work as part of a team
What are the industries that hire AI/ML Data Engineers?
AI and ML data engineers are able to work in a variety of modern industries. Here are the 5 best industries hiring ML scientists:
- Transportation
- Finance
- Retail/Ecommerce
- Healthcare
- Real estate

Find your next AI/ML job

If you are building a career in AI/ML, fill out this form and share your resume.
We invite junior and senior level candidates with competencies in AI/ML, data science, engineering, and similar technologies.

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