πSpain
ML/AI Engineer
closed
Agerpoint
π΅ $105k-$145k
πRemote - United States
Summary
Join our team at Agerpoint as a Hybrid Model Developer and contribute to shaping how agriculture and nature field data is captured, analyzed, and managed. As a key member of our Research Triangle Park, NC location, you will design and implement innovative ML/AI models, develop advanced computer vision algorithms, and collaborate with cross-functional teams to address customer needs effectively.
Requirements
- Bachelorβs or Masterβs degree in Computer Vision, Computer Science, Engineering, Applied Mathematics, or a related discipline
- At least 2 years of experience in AI/ML development
- Demonstrated history of producing high-quality software (e.g., on GitHub)
- Strong programming skills in Python or C++
- Experience in libraries such PyTorch, TensorFlow, SciPy, NumPy, Pandas, Sci-kit-learn, OpenCV, Matplotlib, MLflow, Transformers, Shapely, GeoPandas or Rasterio
- Exceptional analytical skills with a proven ability to address complex challenges
- Strong interpersonal skills, with the ability to excel in a collaborative, interdisciplinary environment
Responsibilities
- Design and implement innovative 2D and 3D ML/AI models leveraging agriculture and nature datasets
- Develop advanced computer vision algorithms for analyzing diverse data types, including imagery from handheld cameras, drones, aircraft, satellites, LIDAR, and point clouds
- Work with heterogeneous datasets to create scalable and robust solutions, utilizing deep learning frameworks such as PyTorch, TensorFlow, Keras
- Contribute to machine learning operations (MLOps) workflows, including model deployment, retraining, testing, and performance monitoring
- Utilize GIS and 3D modeling tools to transform geospatial and 3D data into actionable insights
- Collaborate with software developers, product managers, and subject-matter experts to address customer needs effectively
- Stay updated on advancements in ML/AI and 3D modeling, applying relevant developments to enhance project outcomes
- Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and innovation
Benefits
- Paid company holidays and unlimited PTO
- Remote friendly and flexible work environment
- Company paid healthcare benefits
- Equity options for full-time employees
This job is filled or no longer available
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