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Machine Learning Engineer with QA
Oklahoma City, OK
Oklahoma City
OK
73179
Date
: Mar-17-25
2025-03-17
2026-03-07
Machine Learning Engineer with QA
Oklahoma City, OK
Mar-17-25
Work Authorization
US Citizen
GC
H1B
GC EAD, TN EAD, H4 EAD, L2 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
8Months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
[ML] Machine Learning
Consulting / Contract
H1B OK
Third Party OK
CONTRACTOR
Direct Client Requirement
Required Skills
:
Machine learning, AWS, Cloud Computing, Google Cloud Platform, Kubernetes,
Python
, Windows Azure
Preferred Skills
:
Domain
:
IT/Software, Financial, HealthCare, Dot Com
Work Authorization
US Citizen
GC
GC EAD, TN EAD, H4 EAD, L2 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
8Months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
[ML] Machine Learning
Consulting / Contract
H1B OK
Third Party OK
CONTRACTOR
Direct Client Requirement
Required Skills
:
Machine learning, AWS, Cloud Computing, Google Cloud Platform, Kubernetes,
Python
, Windows Azure
Preferred Skills
:
Domain
:
IT/Software, Financial, HealthCare, Dot Com
Robotics technology LLC
Duncanville, TX
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Required Skills and Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Proven experience in building and deploying machine learning models (supervised, unsupervised, reinforcement learning, etc.).
Strong programming skills in
Python
, R, or similar languages used in machine learning.
Solid understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with machine learning libraries and frameworks (TensorFlow, Keras, PyTorch, Scikit-Learn, etc.).
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Experience in testing and validating machine learning models and pipelines.
Familiarity with version control tools (e.g., Git).
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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