Machine Learning Architect

Depends on Experience

Full Time

  • Work from home


  • Python
  • Machine Learning
  • Tensor Flow
  • Deep Learning
  • MLLib
  • Apache Spark
  • AWS and MVC Design Patterns

Job Description

We are in Critical need of Machine Learning Architect for Fulltime Hire in Austin, TX
Role : Machine Learning Architect
Location : Austin, TX
Duration : Fulltime Hire
Job Description : 
We are looking for an experienced and skilled Machine Learning Architect to design, develop, and deploy our ML-based projects, which will accelerate our digital transformation. As part of our team, your responsibility will encompass the whole machine learning pipeline, including data pre-processing and post-processing, selecting and architecting training models, and supporting implementation.
Job Responsibilities:
  • Collaborate with business stakeholders to identify opportunities where machine learning projects can deliver value.
  • Collect and preprocess data sets from various sources and integrate them into our proprietary platforms.
  • Develop predictive models from data, including extensive exploratory data analysis, model developments for various business use cases, and report performance feedback of models.
  • Perform statistical analysis and constantly monitor the effectiveness of the deployed models.
  • Stay current with advancements in data science and machine learning technologies and assess implications to our environment.
  • Analyze, architect, and implement appropriate machine learning infrastructure for data processing.
  • Provide mentoring and guidance to junior data teams and internal stakeholders.
  • Partner with security and IT to ensure data privacy and security.
  • Architect and deploy machine learning and AI models in collaboration with teams that build scalable systems and monitor data.
Job Requirements: 
  • Experience in designing ML algorithms and packaging to execute on scalable platforms in products 
  • Advanced experience in scripting languages such as Python and R.
  • Experience with supervised and unsupervised group techniques and dimension reduction methods, decision trees, random trees, boosted decision trees, neural networks, deep learning, reinforcement learning, and clustering methods.
  • Additionally, experience with one or more big data processing technologies (such as Hadoop or Spark) and model deployment platform frameworks.
  • Excellent problem-solving skills and the ability to prioritize tasks and assignments.
  • Ability to clearly and effectively present information and work collaboratively with stakeholders.
  • Excellent team management, project management, and customer experience development skills