Intelligent Systems Engineer, EcoSpace

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience building machine learning solutions and working with technical customers.
• Experience writing software in Python, Scala, R, or similar.
• Experience with data structures, algorithms, and software design.

Preferred qualifications

• Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
• Experience with product growth or analytics tools.
• Excellent communication skills.

About the job

As a Intelligent System Engineer, you’ll be instrumental in driving EcoSpace growth initiatives. You’ll meticulously measure experiments, analyze key metrics, and collaborate closely with both product and engineering teams to effectively scale features. This dynamic role offers a unique and exciting opportunity to significantly drive user adoption and impact the platform's expansion.

Responsibilities

• Serve as a trusted technical advisor to EcoSpace's customers.
• Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers.
• Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.

Hiring Process

• Resume Review
• ENGST Exam
• Online Assessment (OA)
• 1–2 Interviews
• Offer Letter

Each stage is evaluated by our human hiring panel for a thorough and equitable selection process.