AI/Machine Learning Engineer
4 Staffing CorpFremont, California, United States
Posted December 11, 2025
Full Time
About the Company
4 Staffing Corp is a global staffing and recruitment firm that specializes in placing high‑skill professionals across IT, finance, engineering, and manufacturing sectors, including ERP, cybersecurity, SAP, Salesforce, and AI/ML solutions. Leveraging a proprietary candidate‑to‑job matching platform built by recruiters and IT experts, the company maintains a database of tens of thousands of pre‑qualified candidates, enabling rapid, high‑quality placements through contingency, contract, temp‑to‑perm, and RPO services. With more than two decades of experience and a worldwide affiliate network, 4 Staffing emphasizes long‑term relationships, integrity, and customer‑centric service rather than short‑term gains. Its entrepreneurial culture encourages open communication and continuous improvement, ensuring that both clients and candidates receive a personalized, value‑driven experience.
Job Description
Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning algorithms and AI models to solve complex problems and drive innovation.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Strong background in machine learning, artificial intelligence, and statistical analysis
- Demonstrated experience in designing, developing, and deploying machine learning models and algorithms
- Proficiency in programming languages such as Python, R, or Java, with a solid understanding of data structures, algorithms, and software engineering principles
- Hands-on experience with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with deep learning techniques and frameworks, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs)
- Experience with data preprocessing, feature engineering, and model evaluation techniques
- Strong analytical and problem-solving skills, with the ability to think critically and creatively to tackle complex challenges
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
- Ability to adapt quickly to new technologies and methodologies in the rapidly evolving field of AI and machine learning
