Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent work experience, along with at least 2 years of experience as a Machine Learning Engineer. They must have proven experience in Data Engineering, Software Development, DevOps, Machine Learning, or a related field, and a strong understanding of Python programming. Candidates should also demonstrate proficiency in machine learning frameworks and libraries like TensorFlow, PyTorch, and HuggingFace, as well as experience with AWS services such as RDS, Lambda, EC2, S3, EMR, SageMaker, and familiarity with version control systems and CI/CD pipelines.
The Machine Learning Engineer will be responsible for designing and implementing machine learning models in production, creating infrastructure for data ingestion, cleaning, and transformation, ensuring the scalability, reliability, and performance of deployed models and infrastructure, and working closely with cross-functional teams to integrate machine learning solutions into products and services. They will also document model development processes, experiments, and results, and develop scalable APIs while maintaining a good understanding of Computer Science fundamentals and Machine Learning fundamentals.
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