FULLY REMOTE - Machine Learning Engineer

Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 11.AUG.2021
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FULLY REMOTE BUT Must be located in the USA and have a valid working visa. Title: Machine Learning Engineer Rate: DOE - Open to Third party ...


FULLY REMOTE BUT Must be located in the USA and have a valid working visa. Title: Machine Learning Engineer
Rate: DOE - Open to Third party c2c, 1099, w2, H1B visa transfers with immediate sponsorship, , and all valid working visas.
Company: Financial Services
Duration: Long term (24 months plus)
Location: FULLY REMOTE (even after Covid) We are looking for a Machine Learning engineer who will solve complex natural language processing and computer vision problems by employing various Client algorithms, exploring data, building data pipelines and implementing scalable infrastructure to deploy Client-based applications to support business requirements.
Job Responsibilities:

  • Design and develop algorithms and scalable Deep Learning solutions for challenging natural language processing and computer vision problems.
  • Analyze business requirements and break them down to engineering problems
  • Evaluate latest software packages, open source libraries, development environments etc.
  • Statistically analyze data, provide insights and build reliable and reproducible data pipelines
  • Develop, train and evaluate deep learning models including performance optimization and hyper-parameter tuning
  • Develop and build test frameworks, test cases, reproducible experiments and evaluation of various models for automated production deployment.
  • Deploy models to cloud, support monitoring and framework for automation in cloud.
  • Build metrics and alerts for production implementations
  • Provide production support, environment support, troubleshooting and user support
  • Perform code and design reviews, debug complex code.
  • Eager to learn the latest techniques, be flexible and thrive in a fast-paced evolving environment


  • 5+ years work experience
  • Demonstrated proficiency in Python, must have developed and deployed products to cloud using Python and other tools. Familiarity with Java/Scala is helpful.
  • Experience working with AWS cloud is must, must have deployed and maintained production code in AWS cloud.
  • Experience in a commercial environment (not academic institution) developing, deploying and supporting models using Pytorch and or Tensorflow (Pytorch is preferred). Models based on CNNs, LSTMs and Transformers among others.
  • Experience working with Docker, familiarity with Kubernetes would be a plus.
  • Hands on experience running complex SQL queries, using Spark SQL to query large datasets in production.
  • Experience with storage of data for reliable and long-term needs, defining schemas like Protobufs, Avro and Parquet.
  • Excellent written and verbal communication skills.


  • Bachelor's degree in computer science, computer engineering, statistics or related field is required
- provided by Dice

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