Intel Machine Learning Engineer 

Bolivia, Santa Cruz, San José de Chiquitos 

901224243

In this role responsibilities include, although not limited to:

• Builds machine learning workflows and infrastructure necessary to productize AI models and sustain them in production.

• Responsible for preparing data for ML models at scale, building appropriate interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, and/or building and sustaining AI productization platforms.

In addition to the qualifications listed above, the ideal candidate will also have:

• Highly motivated strong team player with the ability to work both independently and collaboratively within a team.

• Has strong analytical skills, including the abilities to scope out business problems to be solved, start from ambiguous problem statements, identify, and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem.

• Ability to present information professionally + concisely with supporting data.

Minimum Qualifications:

The candidate must have a bachelor’s degree in Machine Learning, or AI, or computer science and 5+ years of experience -OR- a master’s in Machine Learning, or AI, or Data Science Engineering discipline:

• 3+ years of experience developing applications or systems using Python

• Knowledge of classical Machine Learning algorithms

  • linear regression

  • clustering

• Knowledge of ML algorithm evaluation

  • learning vs validation vs test error interpretation

• 3+ years of experience in building AI/ML models and in using Python and SQL (or equivalent)

Advanced English level

Preferred Qualifications:

• Experience using Github

• Experience using Cloud Foundry

• Experience using Kubernetes

• Experience using other cloud deployment platforms

• OO programming in Python

• Python package creation and management

• API design experience

• Experience working with mathematical optimization algorithms

• Knowledge of time series Machine Learning algorithms

• knowledge of Deep Learning algorithms

• 1yr experience working with Linux

• Experience creating visualizations for complex (multi-variate) data sets

• Distributed computing protocols and languages, like HTTP, Rest, HTML, CSS

• General/conceptual knowledge of browser programming languages like javascript / typescript

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits