AI-ML - Full-Stack Software Engineer

Description

We are looking for an AI/ML experienced Full-Stack Software Engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of machine learning methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

Responsibilities

• Analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects
• Develop, construct, test and maintain data architectures and data warehouses
• Develop data set processes
• Use data APIs for data collection
• Identify ways to improve data reliability, efficiency and quality
• Prepare data for predictive and prescriptive modeling

Requirements

• 2+ years of experience in building, deploying and running Machine Learning applications or services
• Experience working with very large scale of data
• Familiar with data processing frameworks like Spark
• Strong software development skills, with proficiency in Python / C++ / Java / Scala
• Deep technical skills in machine learning, deep learning, computer vision, natural language processing, or artificial intelligence
• A real passion for making simple, robust, and scalable platforms used by other engineering teams
• Excellent problem solving and debugging skills
• Creative, collaborative & product focused
• Strong interpersonal skills with proven ability to self-manage
• Excellent written and verbal communication skills

Benefits

• Private health insurance
• Pension plan
• Paid time off
• Work from home
• Training & development
• Working with one of the best teams in the region
• Stock ownership plan