EXP: 10-13 YEARS EXPERIENCE

Job Description & Skill Requirement:

Primary Responsibilities:

• 
  
• Able to write a concept paper can take it from idea to implementation

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• Partner with Engineering, Business and Technical Product to make and meet project commitments in an agile framework; rapidly delivering value to our customers via technology solutions

• 
  
• Mentor junior data scientists to successfully deliver software and business value

• 
  
• Responsible for continuous improvement for alerts, monitors and telemetry

• 
  
• Communicate with stakeholders, subject matter experts, and colleagues to identify new means of approaching problems in the medical coding field

• 
  
• Design novel methods in machine learning and launch them to production with the help of data engineers and deployment software engineers

• 
  
• Perform independent analysis of trends in medical coding and production performance of statistical models

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• Demonstrate leadership in the context of machine learning engineering and direct the research direction of a multidisciplinary team focused on deep learning and LLM approaches

• 
  
• Stay abreast of leading-edge technologies in machine learning and deep learning, participate and lead in research talks and white paper reviews

• 
  
• Participate in research meant to ensure alignment of models to ethical standards to ensure machine learning models perform without harm to users

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• 5+ years of experience in machine learning or data science: data analysis, algorithm design, model architecture specification, machine learning algorithm implementation

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• 4+ years of experience working with teams that leveraged three or more of the following: continuous integration/continuous delivery tools, REST API development, serverless architecture, containerization, IaC, public/private cloud, web applications, web services, application observability and/or messaging/stream architecture.

• 
  
• Machine learning model development, transformer architectures, data trend analysis

• 
  
• 4+ years of coding experience with Python or R, with emphasis on libraries from Pytorch, HuggingFace, and pandas

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• 1+ years of production experience with cloud and big data technologies

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• 1+ years of agile development experience

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• Legally authorized to work in the US without any restrictions. Proof will be required

Preferred Qualifications: * M.S. or PhD in a computational domain

• Experience with SQL databases and query language
• Experience in AzureML, AWS, or cluster computing architectures
• Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches
• Experience with XML and XSLT
• Proven Healthcare domain background
• IT full-stack engineering experience

Job Type: Contract

Schedule:

• 8 hour shift

Work Location: In perso

• 
  
• Able to write a concept paper can take it from idea to implementation

• 
  
• Partner with Engineering, Business and Technical Product to make and meet project commitments in an agile framework; rapidly delivering value to our customers via technology solutions

• 
  
• Mentor junior data scientists to successfully deliver software and business value

• 
  
• Responsible for continuous improvement for alerts, monitors and telemetry

• 
  
• Communicate with stakeholders, subject matter experts, and colleagues to identify new means of approaching problems in the medical coding field

• 
  
• Design novel methods in machine learning and launch them to production with the help of data engineers and deployment software engineers

• 
  
• Perform independent analysis of trends in medical coding and production performance of statistical models

• 
  
• Demonstrate leadership in the context of machine learning engineering and direct the research direction of a multidisciplinary team focused on deep learning and LLM approaches

• 
  
• Stay abreast of leading-edge technologies in machine learning and deep learning, participate and lead in research talks and white paper reviews

• 
  
• Participate in research meant to ensure alignment of models to ethical standards to ensure machine learning models perform without harm to users

• 
  
• 5+ years of experience in machine learning or data science: data analysis, algorithm design, model architecture specification, machine learning algorithm implementation

• 
  
• 4+ years of experience working with teams that leveraged three or more of the following: continuous integration/continuous delivery tools, REST API development, serverless architecture, containerization, IaC, public/private cloud, web applications, web services, application observability and/or messaging/stream architecture.

• 
  
• Machine learning model development, transformer architectures, data trend analysis

• 
  
• 4+ years of coding experience with Python or R, with emphasis on libraries from Pytorch, HuggingFace, and pandas

• 
  
• 1+ years of production experience with cloud and big data technologies

• 
  
• 1+ years of agile development experience

• 
  
• Legally authorized to work in the US without any restrictions. Proof will be require