Machine Learning Engineer I (US Remote)

Role and Responsibilities

• Assist in the design, development, and maintenance of machine learning models and algorithms.
• Support data preprocessing, cleaning, and augmentation to prepare data sets for machine learning.
• Implement machine learning algorithms using programming languages such as Python, and frameworks like TensorFlow or PyTorch.
• Collaborate with ML Engineer IIs/IIIs to understand project requirements and machine learning strategies.
• Participate in evaluating and improving the performance of machine learning models.
• Contribute to integrating ML models into production systems, ensuring scalability and efficiency.
• Conduct experiments for well-defined problems and test to validate model predictions and to iterate on model design.
• Help in documenting machine learning processes, models, and outcomes for technical and non[1]technical stakeholders.
• Engage in code reviews and actively participate in team meetings to share knowledge and insights.
• Troubleshoot issues in deployed machine learning systems.
• Stay updated with the latest trends and advancements in machine learning and artificial intelligence

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Equivalent practical experience may be considered in lieu of formal education.
• Basic understanding of machine learning concepts and algorithms.
• Proficiency in Python and familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch).
• Strong analytical and problem-solving skills with a keen attention to detail.
• Ability to work with large data sets and understand data structures and algorithms.
• Eagerness to quickly learn and apply new technologies and methodologies in machine learning and AI.
• Excellent communication skills, both verbal and written, with the ability to present complex ideas clearly and concisely.
• Ability to manage multiple tasks simultaneously and independently.

Preferred Skills

• Experience with data processing and visualization tools.
• Understanding of cloud computing services, such as AWS, Google Cloud, or Azure, and experience deploying ML models in a cloud environment.
• Knowledge of data privacy and security principles.
• Familiarity with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices.
• Experience in healthcare and health insurance data processing

Mental and Physical Demands

• This position will be exposed mainly to an indoor/office environment and will be expected to work in or around computers and printers.
• The nature of the work is sedentary, and the employee will be sitting most of the time.
• Essential physical functions of the job include typing and the repetitive motion to utilize computer software and hardware continuously throughout the day.
• Essential mental functions of this position include concentrating on analytical tasks, reading information, and verbal/written communication to others continuously throughout the day.

Related Duties as Assigned

• This job description documents the general nature and level of work but is not intended to be a comprehensive list of activities, duties, or responsibilities required for this position. Consequently, employees may be asked to perform other duties as required. 
• Employees may also be asked to complete certain compliance requirements set forth by our Business 
• Partners in the performance of their jobs including but not limited to requests for background and drug screenings and disclosures of personal health information or personally identifiable information. 
• Exemptions as provided under the ADA and TITLE VII of the Civil Rights Act will be observed and followed. 
• Reasonable accommodations may be made to enable individuals with disabilities to perform the functions outlined above.