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AI/ML Engineer
Jersey City, NJ
Jersey City
NJ
07399
Date
: Mar-26-24
2024-03-26
2025-03-26
AI/ML Engineer
Jersey City, NJ
Mar-26-24
Work Authorization
US Citizen
GC
H1B
GC EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Junior
Rate/Salary ($)
:
BASED ON EXPERIENCE
Duration
:
3 Months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
[AI] Artificial Intelligence
Permanent Direct Hire
Consulting / Contract
FULL_TIME, CONTRACTOR
Required Skills
:
Artificial Intelligence, Natural Language Processing, Machine learning, Deep Learning, Python
Preferred Skills
:
Domain
:
Work Authorization
US Citizen
GC
GC EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Junior
Rate/Salary ($)
:
BASED ON EXPERIENCE
Duration
:
3 Months
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
[AI] Artificial Intelligence
Permanent Direct Hire
Consulting / Contract
FULL_TIME, CONTRACTOR
Required Skills
:
Artificial Intelligence, Natural Language Processing, Machine learning, Deep Learning, Python
Preferred Skills
:
Domain
:
tanishasystems
Boston, MA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Position : AI/Client Engineer
Location : Seattle, WA
Job Description:
A
Generative AI Engineer
is a specialized professional who designs, develops, and manages artificial intelligence (AI) systems capable of autonomously generating content, such as text, images, and music. These engineers leverage deep learning and machine learning techniques to train AI models on large datasets, enabling them to create new, original content that mimics human-like creativity.
Here are the key skills to look for in a Generative AI Engineer:
Advanced Programming Knowledge
:
Proficiency in programming languages such as
Python
.
Familiarity with AI-centric libraries like
TensorFlow
,
PyTorch
, and
Keras
.
Ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
Generative Models Expertise
:
Experience with generative models such as
Generative Adversarial Networks (GANs)
and
Variational Autoencoders (VAEs)
.
Capability to design, train, and optimize these models to generate high-quality, creative content.
Natural Language Processing (NLP)
:
Knowledge of NLP techniques for text generation projects.
Familiarity with text parsing, sentiment analysis, and the use of transformers like
GPT (Generative Pre-trained Transformer)
models.
Data Management Skills
:
Proficiency in data pre-processing, augmentation, and synthetic data generation.
Ability to clean, label, and augment data to train and improve AI models.
Client :
Tanisha Systems
Turn OFF keyword highlights
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