Job Description

Machine Learning Engineer - Mid-level

Algorithm Development & Optimization

• Rapid prototyping of algorithms for high-performance, data-intensive applications .
• Optimization for speed, efficiency, and scalability in production environments.

2. Programming & Integration

• Python advanced expertise for data processing, ML model development, and automation.
• C++ desirable proficiency for integration with vehicle firmware and full product lifecycle delivery.

3. Mathematical & Statistical Foundations

• Strong background in:
  • Linear Algebra and Geometry essential for ML, graphics, and computer vision.
  • Probability Theory for modeling uncertainty and decision-making.
  • Numerical Optimization for training and refining models.
  • Statistics for model evaluation and performance analysis.

4. Deep Learning Frameworks

• Hands-on experience with PyTorch and TensorFlow for model development and deployment.

5. Model Optimization & Deployment

• Skilled in performance-enhancing techniques:
  • Quantization
  • Pruning
  • TensorRT conversion
• Deploying and maintaining production machine learning use cases .

6. Domain Expertise

• Proficiency in at least one specialized area:
  • Computer Vision
  • Large Language Models (LLMs)
  • Recommender Systems
  • Operations Research

7. Software Engineering Best Practices

• Writing clean, sustainable, and modular code .
• Translating research prototypes into robust, production-ready systems.

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