Job Description

No C2C, No 3rd party firms

Job Title: AI Software Engineer
Location: Hybrid weekly onsite in Aliso Viejo, CA (candidates should already be local to SoCal)
Job Type: Temp-to-hire
Compensation: $60.00 to 80.50 per hour W2 (based on experience)

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Job Overview:

• Partnered with a client who is seeking a skilled and motivated AI Software Engineer to design, develop, and deploy AI models and algorithms that will power their products. As part of the dynamic team, you will work on a variety of exciting AI-related projects, including machine learning, natural language processing, computer vision, and predictive analytics.

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Key Responsibilities:

• Develop, implement, and maintain AI/ML models for a wide range of applications.
• Design and build scalable, efficient, and reusable code for AI systems.
• Collaborate with cross-functional teams to understand requirements and deliver AI solutions aligned with business goals.
• Conduct research to identify new algorithms, tools, and techniques to improve AI systems.
• Train, test, and fine-tune machine learning models to optimize performance.
• Evaluate and analyze AI models' effectiveness, making improvements as necessary.
• Monitor system performance and identify areas for improvement.
• Contribute to code reviews, documentation, and best practices to maintain high-quality software.
• Stay updated with the latest trends and advancements in AI/ML technologies.

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Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience (2+ years) in AI/ML software development, data analysis, and model deployment.
• Strong programming skills in Python, C++, or Java (Python is preferred).
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, Keras, or similar.
• In-depth knowledge of machine learning algorithms, deep learning, and statistical methods.
• Experience with data processing, data cleaning, and working with large datasets.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI solutions is a plus.

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Preferred Qualifications:

• Experience in natural language processing (NLP), computer vision, or reinforcement learning.
• Knowledge of DevOps practices for continuous integration and deployment (CI/CD).
• Familiarity with containerization tools like Docker and Kubernetes.
• Experience with big data technologies such as Hadoop or Spark

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All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county , to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

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