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Senior Machine Learning Engineer

Job Description

About Orbita
Join one of the hottest companies in digital healthcare! Orbita is transforming digital healthcare through the application of next-generation voice and conversational AI technologies. We work with healthcare systems, pharmaceutical companies, and other healthcare organizations to power digital healthcare solutions that improve outcomes, reduce costs, and minimize risks. Orbita offers a complete range of benefits to full-time employees, including Health, Dental, Vision, Short-Term Disability, Long-Term Disability, Life Insurance, Flexible Spending Accounts, Employee Stock Options, 401(k), and more.

 

Position
Senior Machine Learning Engineer

 

Location
Boston, Massachusetts, USA; telecommuting option available

 

Job Description

We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing to training models and deploying them to production.
The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field, work on client-facing projects, manage a small team.

 

Responsibilities

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress 
  • Managing available resources such as infrastructure, deployments, data, and personnel so that we meet deadlines
  • Analyzing the ML algorithms that could solve a given problem and ranking them by their success probability 
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world 
  • Verifying data quality and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset – Defining data augmentation pipelines
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Manages a small team of developers 

 

Requirements

  • Proficiency with a deep learning framework such as PyTorch, RabbitMQ, Celery 
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas 
  • Expertise in visualizing and manipulating big datasets
  • Proficiency with microservices architecture
  • Familiarity with Linux, AWS Infrastructure
  • Ability to select resources to run an ML model with the required latency – B.S. degree or 10+ experience in the related field

 

Orbita, Inc. is an Equal Employment Opportunity (EEO) employer and does not discriminate based on race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act) for employment opportunities.

 

To apply please send a cover letter and resume to jobs@orbita.ai.

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