TalentCapture

Machine Learning and AI Engineer

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Industry: Internet / Other Information Services | Remote - United States

11 month's ago

Primary Skills Required
machine learning, AI, Python, Elastisearch

Resource Type
Direct Hire

Compensation
180,000.00 to 200,000.00 Salary + Bonus

Relocate?
No

Job Description

Our client is a tech startup company building the next-generation news and research aggregation platform "powered" by specialized linguistic tools that utilize artificial intelligence and neural networks.

We are looking for a passionate Engineer to design and develop a machine learning and AI solution for our news and research aggregation platform.

Job Type: Full-time (100% remote) - NO VISA SPONSORSHIP

Key Responsibilities

  • Training model development, text mining, and analysis
  • Ability to quickly build prototypes or proof of concepts
  • In-depth knowledge of Machine Learning algorithms and ability to apply them in data-driven natural language processing systems
  • Design, write and maintain top-quality production-ready code  
  • Develop solutions to extract meaning from large amounts of data efficiently
  • Build tools to evaluate the performance of new or existing components
  • Ability to perform under minimum supervision

Basic Qualifications

  • Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
  • Fluent in one or more machine learning or deep learning tools and libraries
  • Experience in one or more programming languages

Required Skills and Experience:

  • Deep understanding of Machine Learning and Natural Language Processing (NLP) related text mining and analysis
  • 7+years of experience in machine learning, deep learning, NLP, or data science
  • Strong analytical and problem-solving skills

Nice-to-have:

  • Experience with Search platforms like Apache Solr, Elasticsearch, or Graph Search
  • Experience in creating recommendation algorithms
  • Knowledge in Knn (k-nearest neighbors) or similar
  • Topic modeling, clustering, sentiment analysis