Liquidity Group

Description :

As a Senior Machine Learning Engineer, you will be integral to the data science feature development process and work closely with the data engineering team.

You will design machine learning pipelines, apply algorithms to generate predictions and tackle data set challenges, and develop the first-ever, real-time, no-code corporate credit score platform.

Job Responsibilities :

• Build forecasting / prediction models from scratch (POC) to production-ready
• Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
• Take a critical role in the research process for finding the best market solutions for defined business problems
• Provide guidance to the R&D team and product teams

Job Requirements :

• An advanced degree in Computer Science Physics, Mathematics, or equivalent
• Experience in building machine learning models deployed to production environments
• Experience with training, testing, deploying, and monitoring machine learning models in production
• Familiarity with the MLOPS and ML pipeline tools
• Experience with scientific libraries
• 2+ years of experience as a Machine Learning Engineer, Data Engineer or a similar role
• 4+ years of hands-on experience in engineering Python
• Minimum 3-4 years of relevant experience : SQL complex queries (aggregations, analysis, etc.), strong cloud architect,
• Degree in Computer Science Physics, Mathematics, or equivalent experience
• Profound analytical skills and true love for data
• Extensive background in statistical analysis
• Independent, self-motivated and auto-didactic with creative and critical thinking capabilities
• Team player with excellent communication and collaboration skills.