Kaya
AI/ML Engineer for Cutting-Edge Project
Kaya, San Diego, California, United States, 92189
We are on the lookout for an AI/ML engineer to bring expertise to our cutting-edge project. The ideal candidate has a robust understanding of machine learning, data science, and algorithm development. You’ll be responsible for designing and implementing models, analyzing data patterns, and enhancing solution accuracy for maximum impact.Responsibilities:
Develop machine learning models and algorithms based on project requirements.Conduct data analysis, preprocessing, and pipeline optimization.Work on feature engineering and deep learning architectures for scalable solutions.Collaborate with stakeholders to refine objectives and validate model performance.Monitor and troubleshoot deployed models, applying performance tuning as needed.Skills Required:
Experience with Python, R, or Java, and ML libraries such as TensorFlow, PyTorch, and scikit-learn.Familiarity with model evaluation metrics, feature selection, and model deployment.Proficiency in handling large datasets, and cloud services like AWS, GCP, or Azure.Strong understanding of deep learning, NLP, or computer vision (as applicable).Preferred Qualifications:
Advanced degree in Computer Science, AI, or related fields.Knowledge of big data tools (e.g., Apache Spark, Hadoop).Experience with MLOps practices to streamline deployment and maintenance.Project Details:
Please include relevant examples of prior AI/ML projects, explaining your development and deployment process. Any experience with similar industry applications would be highly advantageous.Timeline & Compensation:
Duration: 3~6 monthsPayment: $25 ~ $35 / hrIf you’re an AI expert eager to innovate, we’re excited to discuss this opportunity with you!
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Develop machine learning models and algorithms based on project requirements.Conduct data analysis, preprocessing, and pipeline optimization.Work on feature engineering and deep learning architectures for scalable solutions.Collaborate with stakeholders to refine objectives and validate model performance.Monitor and troubleshoot deployed models, applying performance tuning as needed.Skills Required:
Experience with Python, R, or Java, and ML libraries such as TensorFlow, PyTorch, and scikit-learn.Familiarity with model evaluation metrics, feature selection, and model deployment.Proficiency in handling large datasets, and cloud services like AWS, GCP, or Azure.Strong understanding of deep learning, NLP, or computer vision (as applicable).Preferred Qualifications:
Advanced degree in Computer Science, AI, or related fields.Knowledge of big data tools (e.g., Apache Spark, Hadoop).Experience with MLOps practices to streamline deployment and maintenance.Project Details:
Please include relevant examples of prior AI/ML projects, explaining your development and deployment process. Any experience with similar industry applications would be highly advantageous.Timeline & Compensation:
Duration: 3~6 monthsPayment: $25 ~ $35 / hrIf you’re an AI expert eager to innovate, we’re excited to discuss this opportunity with you!
#J-18808-Ljbffr