Pursue exciting challenges as a Data Scientist/Machine Learning Engineer with Antarctica Capital. This fully remote role focuses on enhancing machine learning systems for bond risk analysis.We are looking for an expert with a minimum of 7 years in machine learning, proficient in Python, and experienced with AWS. Collaborate closely on existing neural network models, implement improvements, and contribute to firm-wide ML methodologies. Embrace the fast-paced, agile environment to drive impactful change and innovation.Key Responsibilities:• Collaborate in refactoring existing neural network• Deploy production-ready machine learning solutions• Work with data scientists to build comprehensive systems• Establish and manage data pipelines and infrastructure• Conduct performance evaluations and optimizationsRequirements:• 7+ years in machine learning model building• Hands-on experience with Pytorch and TensorFlow• Proficiency in AWS and cloud deployment• Strong understanding of software engineering• Experience with large-scale data technologiesEnhance your skills in a rewarding setting at Antarctica Capital, making significant contributions to ML development.#J-18808-Ljbffr
Antarctica Capital: Data Scientist / Ml Engineer
EARTHDAILY ANALYTICS
vancouver, vancouver
Published 24 days ago
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