Senior Computer Vision ML, Data scientist

Sightengine; France; Hybrid; EUR 55,000 - 80,000; Full time

Job summary

Talantir is seeking a Computer Vision Engineer to architect, design and implement solutions to process and understand Images and Videos, in a remote-friendly setup. You will supervise model training and continuous improvement strategies while staying at the forefront of advances in the field.

The role requires hands-on coding in Python, experience with TensorFlow or PyTorch, and a Unix-based environment; a degree or equivalent in CS/ML/Image Processing is preferred, with a strong passion for

Qualifications

• Experience running research experiments with ML/vision.
• Familiar with TensorFlow, PyTorch or equivalents.
• Degree or experience related to Computer Science, Machine Learning and/or Image Processing.
• Keen on becoming a master of Deep Neural Networks and other state-of-the-art approaches.
• Love coding and comfortable with Python.
• Familiar with Unix environments.

Responsibilities

• Architect, design and implement solutions to process and understand Images and Videos.
• Supervise model training, model updates and continuous improvement strategies.
• Stay at the forefront of advances in Computer Vision.

Skills

Python

Deep Learning

Computer Vision

Unix

Education

Degree in CS/ML/Image Processing

Tools

TensorFlow

PyTorch

Job description

Remote or Hybrid

RESPONSIBILITIES

• Architect, design and implement solutions to process and understand Images and Videos
• Supervise model training, model updates and continuous improvement strategies
• Stay at the forefront of advances in Computer Vision

REQUIREMENTS

• you have experience running research experiments and are familiar with Tensorflow, PyTorch or equivalents
• you have a degree or experience related to Computer Science, Machine Learning and/or Image Processing
• you're keen on becoming a master of Deep Neural Networks and other state-of-the‑art approaches
• you love coding and you're comfortable with Python or equivalents
• you are familiar with Unix environments

BONUS POINTS

• previous work on large-scale projects or large-scale datasets

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