We’re looking for an ultra-hands on Engineer experienced with designing and developing an ML based infrastructure
Excellent Programming skills in Python, SQL
Knowledge of Cloud computing concepts (AWS) and working experience with deploying and managing applications in the Cloud
Deep understanding of distributed computing principles
Will take the lead in deploying machine learning models, lead open-source efforts significantly impacting multiple areas of investment process, collaborate with research team to address engineering challenges and contribute to the development and improvement of novel algorithms and models
Requires:
Advanced (MS/PhD) degree in computational science, with preference for Comp Sci, Math, Stats, related
4+ years of industry experience, including training and deploying ML models in production
ML Full stack /Engineering toolkit: proficiency in Python, TensorFlow, PyTorch, Keras, scikit-learn etc.
Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models
Prior experiences working in both startup and research environments a plus, experience in investment management application of ML a plus
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