Lead Machine Learning Engineer

⚡ Role: Lead ML Engineer

💼 Industry: AgTech | GreenTech

🌎 Location: Remote

💰 Salary: $160,000-$190,000 + Equity

This is an amazing opportunity for a Lead Machine Learning Engineer to join a disruptive start-up in the AgTech space!

The company are seeking a ML Lead who will be responsible for developing and implementing ML strategies and solutions to improve crop yield, reduce waste, and enhance overall efficiency in the agricultural industry.

Responsibilities:

• Lead the development of ML strategies and solutions for agricultural applications, including crop yield optimization, waste reduction, and resource management
• Design, develop, and deploy ML models across different stages of the product development cycle, from prototyping to production
• Lead, build and mentor a team of ML engineers, providing guidance and support to ensure the successful delivery of ML projects
• Maintain and improve the quality of ML models over time through ongoing monitoring, maintenance, and optimization

Qualifications and Experience:

• Master’s degree Degree in Computer Science, Physics, Mathematics, Engineering or related field
• 5+ years industry experience developing and deploying ML solutions
• Proficiency with Python and ML libraries such as TensorFlow or PyTorch
• Familiarity with cloud computing platforms such as AWS, GCP or Azure
• Understanding and experience in Agriculture / Agronomic-related fields
• Experience in start-up environments

📧 Sounds like you? Please click on the ‘Easy Apply’ button. You can also send your resume directly to oscar.hayes@storm4.com or message me directly!