Machine Learning Engineer

6 days ago


New York, New York, United States Cyndx Full time
About Cyndx

Cyndx is a leading Artificial Intelligence and Natural Language Processing (NLP) platform that offers innovative 'search and discovery' solutions for entrepreneurs, start-ups, investors, and acquirers. Our subscription-based solution helps enhance capital raising, acquisitions, and other business opportunities. Our platform hosts data on over 20 million companies worldwide and is used by some of the largest financial institutions in the world.

We are seeking a highly skilled Data Scientist to work on leveraging text and financial data to build machine learning models that encapsulate the ecosystem of a banker's lifecycle. The ideal candidate will thrive in fast-paced environments, be a creative problem solver, and have a passion for implementing solutions for non-trivial machine learning problems designed for the financial world.

In this role, you will be working with a team of AI engineers and data scientists to design and develop proprietary AI algorithms, including but not limited to fine-tuning large language models for semantic search engines, financial data point estimations, recommendations, and trend predictions. These algorithms will make Cyndx unique in the Fintech market space.

This role will be located in either our New York or West Palm Beach office. We are currently working on a hybrid model and are in the office for four days and remote for one day each week.

Key Responsibilities
  • Research and detect valuable data sources and automate collection processes
  • Perform preprocessing of structured and unstructured data
  • Review large amounts of information to discover trends and patterns
  • Create predictive models and machine-learning algorithms
  • Modify and combine different models through ensemble modeling
  • Organize and present information using data visualization techniques
  • Develop and suggest solutions and strategies to business challenges
  • Work together with engineering and product development teams
Requirements
  • 2+ years' experience of working as a Data Scientist with significant experience working in productionizing code and deploying models to cloud environments.
  • Significant experience in data mining, machine learning, and operations research
  • Good knowledge of Python and SQL. Experience working in Python outside of Jupyter notebooks is a must.
  • Strong math and analytical skills, with business acumen, preferably with experience in the investment banking space.
  • Strong communication and presentation skills
  • Good problem-solving abilities
  • Expertise with ML libraries like Numpy/Pandas/Scikit-learn
  • Deep understanding of machine learning algorithms including but not limited to regression models, classification models, clustering, boosting, transformers, and neural networks.
  • Strong research mind to be able to read and understand the latest research in AI and NLP
  • A creative mindset to not just solve problems, but to come up with ideas that would further enhance our products
  • BSc, MSc or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred.


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