Hybrid Machine Learning Engineer Driving Software and Data Innovations
Super GeoAI Technology Inc.
About the role
About
Step into a dynamic role as a Machine Learning Engineer focused on data science and software development. Collaborate in a hybrid environment to enhance innovative solutions and maintain robust systems.
This position is ideal for an experienced professional with over 5 years of expertise in machine learning and software engineering. You will work in a hybrid capacity within a startup and consulting environment, leading a small team to develop cutting‑edge databases and upgrade existing applications. Your ability to work independently under pressure will be crucial to success in this role.
Key Responsibilities
- Lead data science initiatives to inform decision-making
- Upgrade and maintain existing software systems
- Design and develop effective database solutions
- Supervise and mentor a team of 3-4 developers
- Ensure timely project delivery in a high-pressure setting
Requirements
- Minimum 5 years of experience in machine learning
- Strong software development and database design skills
- Ability to work both remotely and on-site
- Proven track record in fast-paced environments
- Willingness to relocate if necessary
Additional Information
Embrace this opportunity to make an impact in machine learning, software development, and team dynamics while thriving in a hybrid work setting.
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Requirements
- Minimum 5 years of experience in machine learning
- Strong software development and database design skills
- Ability to work both remotely and on-site
- Proven track record in fast-paced environments
- Willingness to relocate if necessary
Responsibilities
- Lead data science initiatives to inform decision-making
- Upgrade and maintain existing software systems
- Design and develop effective database solutions
- Supervise and mentor a team of 3-4 developers
- Ensure timely project delivery in a high-pressure setting
Skills
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