Senior Machine Learning Engineer

May 2

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HopHR

Connecting data scientists/engineers and companies, perfectly.

Marketplace for Hiring Data Scientists • Staffing & Recruiting • Machine Learning • Big Data • Analytics

11 - 50

Description

• Lead the end-to-end development and deployment of predictive models for wealth management solutions, from database to user interface • Design, build, and implement AI Co-Pilots tailored for the Wealth and Asset Management industry • Collaborate with cross-functional teams to enhance user experience and add significant business value • Act as a technical leader within the team, providing guidance and mentorship to other engineers

Requirements

• Minimum of 4+ years of experience in machine learning and full-stack development. • Proficient in utilizing a range of machine learning libraries and frameworks (such as TensorFlow, PyTorch, Scikit-learn, Keras, etc.) • Proficiency with the LangChain framework • Strong engineering skills, including proficiency in Python • Familiarity with cloud platforms (AWS, GCP, Azure) and understanding of containerization and orchestration tools (Docker, Kubernetes)

Benefits

• Work remotely • Opportunity to work on cutting-edge AI-driven solutions • Competitive salary and benefits package • Professional growth and development opportunities

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