ML Architect

Title: ML Architect

Location: ONSITE Austin, TX

Technical Skills: Python, Machine Learning, Tensor Flow, Deep Learning, MLLib, Apache Spark, AWS and MVC Design Patterns.

Additional Comments:

Job Title: Machine Learning Architect

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

Candidates who apply with relevant experience will be preferred.