C-964 | Machine Learning Engineer

Vyro

Almagro, Buenos Aires
10.000 $ pesos por mes
Permanente
Tiempo completo

Hace 7 horas

Vyro works in the app development industry and builds apps focused on photo editing. We focus heavily on R&D; and AI to power our apps. We started with the vision to help people reflect better in photos; through this, we could touch people’s hearts.With millions of active users and multi-million downloads per month, Vyro is already one of the top developers on the Google Play Store. At Vyro, we are always hungry to be doing better every day & night. We envision expanding the Photo Editing industry forward by introducing tools and products that will ease, quicken, and take photo editing to the next level.Being a team of young talented people, Vyro strongly believes in young talent because they inherently don’t have any boundaries, and for them, nothing is impossible. We encourage everyone’s contribution to every aspect of our organization because our people are our most valued asset.Vyro is looking for Machine Learning Engineer to join its R&D; team.**Qualifications**:- Degree in CS or related fields
- Must have worked with core Deep Learning domains like GANs, Diffusion models, Classification, Segmentation, Inpainting, Detection, etc.
- Around 2-4 years of experience in Machine Learning
- Must have strong knowledge of Machine Learning / Deep Learning Fundamentals.
- Must have strong proficiency in PyTorch or Tensorflow
- Experience in optimizing machine learning models using TensorRT or any other framework
- Experience with the deployment of Machine Learning Models is a plus**Responsibilities**:- Create & compile datasets
- Improve existing ML models that are being used
- Help in the creation of neural network architectures
- Work closely with the R&D; team to identify & pursue machine learning problems & needs
- Designing, developing, and researching Machine Learning systems, models, and schemes
- Studying, transforming, and converting data science prototypes
- Searching and selecting appropriate data sets before performing data collection and data modeling
- Performing statistical analysis and using results to improve models
- Training and retraining ML systems and models as needed
- Identifying differences in data distribution that could affect model performance in real-world situations
- Visualizing data for deeper insights
- Analyzing the use cases of ML algorithms and ranking them by their success probability
- Understanding when your findings can be applied to business decisions
- Enriching existing ML frameworks and libraries
- Verifying data quality and/or ensuring it via data cleaning**Salary**: Up to $10,000.00 per month**Experience**:- Stable Diffusion (preferred)
- Generative Art (preferred)

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