1

Jd Machine Jobs Near Me

next page

Showing results 1-20

Jd Machine information

See salary details

$13

$26

$48

How much do jd machine jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for jd machine in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What cities are hiring for Jd Machine jobs?

Cities with the most Jd Machine job openings:

What states have the most Jd Machine jobs?

States with the most job openings for Jd Machine jobs include:

A map of the United States highlighting the number of Jd Machine job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Jd Machine job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Urgent Hiring || Python Engineer (AI/ML) OR Data Engineer with AI/ML | USC, GC, EADs | Columbus OH

Columbus, OH โ€ข On-site

Contractor

Re-posted 25 days ago


Job description

Please find the JD for below role and let me know if you are interested then please share your updated resume.

Python Engineer (AI/ML) OR Data Engineer with AI/ML OR Data Science (AI/ML)

Columbus OH
Relocation is open with prior history/ reason

Visa: USC, GC, EADs

Must Have Skills:

Need Python development and some experience in ML/AI

 

Must:    Python , Spark/Pyspark, AWS

Plus:      Data Bricks, Terraform

With AI/ML - preferred

Required qualifications, capabilities, and skills

Formal training or certification on Software Engineering concepts and 5+ years applied experience

Hands-on with building AI agents and Machine learning

Hands-on practical experience delivering system design, application development, testing, and operational stability

Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems