Top 108 Models models quantum algorithm quantum algorithm algorithms quantum algorithm Jobs

AI/ML Engineer(Entry Level)
Parahunt Global Solutions —New Jersey
- $55,532.59 - $65,490.87 a year
- Full-time
- Computer Science
- Java
- AWS
- 401(k)
Quick Apply
Machine Learning Lead Engineer
Cox Automotive —Atlanta, GA
- $134,900 - $224,900 a year
- Full-time
- 18 years or older
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Physical Scientist/Mathematican
US Department of Energy - Agency Wide —Germantown, MD
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- Part-time
- Background check
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P&C Global —United States
- Remote
- Azure
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AI Solutions Architect
Terra Quantum —United States
- Hybrid work
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Fiber Sensing PostDoc
NOKIA —United States
- Full-time
- Computer Science
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Quantum Cryptography Engineer
Movement —United States
- Full-time
- Doctor of Philosophy
- Senior level
Computing and Artificial Intelligence (CAI) Division UGS
Los Alamos National Laboratory —Los Alamos, NM
- Email
- Computer Science
- Pass drug screening
- C++
- Disability insurance
- Health insurance
5h

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AI/ML Engineer(Entry Level)
Parahunt Global Solutions —New Jersey
Contribute to cross-functional teams working on big data projects with Spark, SAS, Talend, and other analytics tools.
$55,532.59 - $65,490.87 a year
Quick Apply
Machine Learning Lead Engineer
Cox Automotive —Atlanta, GA
Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years'…
$134,900 - $224,900 a year

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AI/ML Engineer(Entry Level)

Parahunt Global Solutions
New Jersey

Quick Apply

Job Details

Full-time
$55,532.59 - $65,490.87 a year

Benefits

401(k)

Qualifications

AI models
TensorFlow
Dashboard development
Machine learning libraries
Machine learning frameworks

Full Job Description

Job Summary
We are seeking a passionate and motivated Entry-Level AI/ML Engineer to join our innovative team. In this role, you will contribute to developing, training, and deploying cutting-edge artificial intelligence and machine learning models that drive impactful solutions across various domains. This position offers an exciting opportunity to work with advanced technologies such as natural language processing, big data analytics, and cloud-based AI frameworks, all while gaining valuable industry experience. Your efforts will help shape the future of intelligent systems, making a real difference in how data is harnessed to solve complex problems.

Duties

Assist in designing and implementing machine learning models using frameworks like TensorFlow and other popular tools.
Support data collection, cleaning, and transformation processes through ETL (Extract, Transform, Load) pipelines to prepare datasets for analysis.
Collaborate on model training and evaluation, utilizing techniques such as unsupervised learning to uncover hidden patterns in large datasets.
Contribute to deploying AI solutions on cloud platforms like AWS, ensuring scalability and reliability of models in production environments.
Participate in database design and management using SQL, NoSQL, and Hadoop-based systems to optimize data storage and retrieval.
Engage in data mining activities to extract actionable insights from complex datasets for analytics purposes.
Assist in developing natural language processing applications and integrating linked data sources for enhanced information retrieval.
Support the development of dashboards and visualizations using tools like Looker to communicate findings effectively.
Contribute to cross-functional teams working on big data projects with Spark, SAS, Talend, and other analytics tools.

Experience

Bachelor’s degree or higher in Computer Science, Data Science, Electrical Engineering or related fields with a focus on AI/ML or analytics.
Familiarity with programming languages such as Python, Java, C, or VBA for developing algorithms and automation scripts.
Basic understanding of machine learning concepts including model training, evaluation metrics, and deployment strategies.
Experience with cloud services like AWS or similar platforms is a plus.
Knowledge of big data technologies such as Hadoop or Spark for processing large-scale datasets.
Exposure to natural language processing (NLP), data mining techniques, or quantum engineering is advantageous but not required.
Ability to work with SQL databases and perform data analysis using R or SAS software.
Strong analytical skills combined with a proactive attitude toward learning new technologies in AI/ML fields. Join us to be part of a forward-thinking environment where your enthusiasm for AI/ML can flourish! We’re dedicated to fostering growth through continuous learning opportunities and collaborative projects that push the boundaries of innovation in artificial intelligence and machine learning technology.

Pay: $55,532.59 - $65,490.87 per year

Benefits:

401(k)

Work Location: In person

Quick Apply

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AI/ML Engineer(Entry Level)

Machine Learning Lead Engineer

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Fiber Sensing PostDoc

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Computing and Artificial Intelligence (CAI) Division UGS

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