Machine Learning Engineer

2 days ago

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Andesite Partners

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Alternative Investments Human Capital, Redefined.

Private Equity • Growth Capital • Recruitment • Executive Search • Venture Capital

2 - 10

Description

• Develop and Manage AI/ML Infrastructure and Lifecycle: Build and maintain scalable and reliable AI/ML infrastructure to support model deployment, monitoring, and optimization. • Design, Develop, and Deploy Models (especially LLMs): Focus on integrating and deploying foundational generative AI models. • Collaborate within a Cross-Functional Team: Work with product managers, product developers, threat analysts, and data scientists. • Keep Pace with Research: Stay updated with the latest research in machine learning, large language models, and cyber security.

Requirements

• Most importantly, a passion for ensuring data quality, observability, and model performance through effective monitoring, validation, and data collection practices. • Masters/PhD (or Bachelor’s with equivalent experience) in computer science, statistics, mathematics, or related field, or equivalent work experience • 2+ years of experience in data science, machine learning, or data analytics • Proficient in one or more programming languages, such as Python, R, or Scala • Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn • Experience with cloud platforms and services, such as AWS, Azure, or GCP

Benefits

• Top-of-market competitive salary, bonus, and equity package • 100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family • Unlimited PTO, with your manager’s approval • Flexible work environment where you manage your work day • A remote-first environment, with occasional travel to collaborate with customers, your team, and teammates from across the company in person • Home office reimbursement • 14 weeks of fully-paid parental leave