AI/ML Engineer
NextGen Staffing
United States
about 2 months ago
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Role details
Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Data Analysis
Computer Vision
Microsoft Azure
Cloud Computing
Computer Programming
Data Cleansing
Data Structures
Database Theory
Revision Control Systems
+17 more
Python (Programming Language)
Machine Learning
NumPy
Tensorflow
Standard Sql
Unstructured Data
Google Cloud
Feature Engineering
Pytorch
Large Language Models
Model Validation
Generative AI
Git
Pandas
Scikit Learn
Information Technology
Machine Learning Operations
Job description
- Assist in developing, training, testing, and deploying machine learning models.
- Work with structured and unstructured datasets for data analysis and model development.
- Support the implementation of AI/ML solutions for business use cases.
- Collaborate with senior engineers, data scientists, and product teams.
- Perform data preprocessing, feature engineering, and model evaluation.
- Develop and maintain Python-based scripts and ML pipelines.
- Research and experiment with emerging AI technologies, including LLMs and Generative AI.
- Document technical designs, processes, and project outcomes.
Requirements
We are seeking a motivated and enthusiastic AI/ML Engineer () to join our growing team. This is an excellent opportunity for entry level candidates and early-career professionals who are passionate about Artificial Intelligence, Machine Learning, Data Science, and Generative AI technologies. Candidates on OPT are welcome to apply., * Bachelor’’s or Master’’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Information Technology, or a related field.
- Strong understanding of Machine Learning fundamentals and algorithms.
- Knowledge of Python programming.
- Familiarity with libraries/frameworks such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
- Basic understanding of statistics, data structures, and algorithms.
- Knowledge of SQL and database concepts.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities., * Academic projects, internships, or personal projects in AI/ML.
- Exposure to Generative AI, Large Language Models (LLMs), NLP, or Computer Vision.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Understanding of MLOps concepts and version control tools like Git.
- Experience with APIs and model deployment is a plus.
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