Top 100 Quantum algorithm quantum algorithm quantum algorithm quantum information algorithms cloud 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
4d
Senior Director Analyst, Cryptography, Remote United States
Gartner —Remote
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7d
Data Platform Software Engineer
PsiQuantum —Palo Alto, CA
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Quantum Engineer SME
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Director, Ohio Quantum Computing Institute
Miami University —Oxford, OH
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Senior Global Technical Program Manager - Post Quantum Cryptography (PQC) Readiness
The Lincoln Electric Company —Ohio
- $145,000 - $185,000 a year
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Principal Quantum System Architect
Microsoft —Redmond, WA
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Security Data Analytics Engineer TS/SCI
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Director, Compute Platforms & AI
PsiQuantum —Milpitas, CA
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Product Software Modernization Engineer, Quantum AI
Google —Goleta, CA
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Senior Software Engineer in Crypto (Smart Cards)
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Senior Software Engineer, Back-end (Boulder Opal)
Q-CTRL —Los Angeles, CA
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Senior Security Engineer, PKI & Secrets
CoreWeave —Bellevue, WA
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Technical Lead, Software Technical Infrastructure, Quantum AI
Google —Goleta, CA
- $207,000 - $301,000 a year
- Full-time
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- Paid holidays
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HPE Labs - Senior QEC Researcher – Integrated HPC & Quantum Solutions
Hewlett Packard Enterprise —Maryland
- $135,500 - $275,000 a year
- Full-time
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Principal Product Manager
Microsoft —Redmond, WA
- $165,600 - $331,200 a year
- Full-time
- Background check
- 8 years
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Member of Technical Staff, Microsoft Robotics (Robotics Simulation)
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Computer Science
- Research
9d

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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
4 days ago

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

Refine Your Search

quantum algorithm quantum algorithm quantum algorithm quantum information algorithms cloud jobs

AI/ML Engineer(Entry Level)

Senior Director Analyst, Cryptography, Remote United States

Senior Field Engineer - Quantum Security

Senior Enterprise Account Executive - Manufacturing

Data Platform Software Engineer

Quantum Engineer SME

Director, Ohio Quantum Computing Institute

Senior Global Technical Program Manager - Post Quantum Cryptography (PQC) Readiness

Principal Quantum System Architect

Senior EDA/CAD Engineer

Security Data Analytics Engineer TS/SCI

Director, Compute Platforms & AI

Product Software Modernization Engineer, Quantum AI

Senior Software Engineer in Crypto (Smart Cards)

Senior Software Engineer, Back-end (Boulder Opal)

Senior Security Engineer, PKI & Secrets

Technical Lead, Software Technical Infrastructure, Quantum AI

HPE Labs - Senior QEC Researcher – Integrated HPC & Quantum Solutions

Principal Product Manager

Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

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