Python ML Engineer
Description For Python ML Engineer
Activeloop is seeking a Python ML Engineer to join their innovative team working on Deep Lake and Multi-modal AI Search solutions. This role combines cutting-edge machine learning with practical applications in data organization and retrieval. The ideal candidate will have advanced degrees and strong expertise in ML, focusing on developing and optimizing machine learning pipelines, implementing efficient indexing techniques, and integrating state-of-the-art retrieval methods.
The position offers an opportunity to work on meaningful projects that transform how organizations utilize their data for AI applications. You'll be responsible for designing ML pipelines, optimizing algorithms, and building advanced query processing systems. The role requires expertise in Python, ML frameworks, and production deployment experience.
What makes this role unique is the chance to work with cutting-edge AI technology, including Retrieval-Augmented Generation (RAG) techniques and distributed training of deep learning models. Activeloop's products are trusted by industry leaders and are at the forefront of transitioning from traditional software to AI applications.
The company values diversity and provides an inclusive workplace environment. You'll be part of a team that's building scalable, impactful ML tools in a dynamic startup environment, contributing to the development of an enduring business that's revolutionizing how organizations harness their data for AI applications.
Responsibilities For Python ML Engineer
- Design, implement, and optimize robust machine learning pipelines for large-scale datasets
- Develop and refine algorithms for semantic understanding, retrieval performance, and relevance ranking
- Work on integrating data storage and retrieval solutions within Deep Lake
- Build advanced pipelines for query processing, including contextual interpretation and intent recognition
- Fine-tune and deploy machine learning models tailored to data organization and retrieval tasks
- Establish metrics and testing frameworks to continuously evaluate and improve system performance
- Optimize ML systems for high throughput, low latency, and large-scale dataset handling
Requirements For Python ML Engineer
- Master's or PhD degree in Computer Science, Machine Learning, Statistics, or related field
- Strong programming skills in Python and experience with ML libraries like TensorFlow or PyTorch
- Proven experience in deploying machine learning models in production environments
- Knowledge of advanced machine learning algorithms, including deep learning, reinforcement learning, and ensemble methods
- Solid understanding of data pre-processing, feature engineering, and data quality assurance
- Excellent problem-solving skills and ability to extract meaningful insights from complex datasets
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