Machine Learning Engineer
YO HR CONSULTANCYLos Angeles, CA, USjob_description.job_card.variable_days_ago
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- serp_jobs.job_card.part_time
job_description.job_card.job_descriptionEvaluate machine learning outputs produced by AI systems for quality, accuracy, and alignment with business objectives Calibrate AI decision-making processes in tasks such as model training, performance optimization, and pipeline evaluation Design, build, and refine machine learning models and data processing pipelines Collaborate with researchers and engineers to iterate on architectures, training strategies, and deployment methods 2+ years of experience in machine learning, ideally in deep learning, data science, or large-scale AI systems within established organizations Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related technical field. Advanced degrees (e.g., MSc, PhD) are a plus Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and model evaluation techniques Solid understanding of large-scale data processing, training pipelines, and system optimization Excellent analytical, critical thinking, written, and presentation skills, with the ability to distill complex machine learning workflows into clear, actionable insights
Job Description
Job Description
Project Timeline
- Duration : 1–2 months
- Commitment : Part-time, ~20 hours / week (potential to extend to 40 hours / week)
- Schedule : Fully remote
Key Responsibilities
Ideal Qualifications
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Machine Learning Engineer • Los Angeles, CA, US