Posted on: 24/09/2025
Job Description :
1. 5+ years of hands-on experience in Machine Learning Engineering.
2. Expert-level proficiency in Python, with deep experience in libraries such as :
- Scikit-learn for classical ML algorithms
- PyTorch for deep learning and neural networks
- Pandas and scipy for data manipulation and scientific computing
- Click for command-line interfaces
- Flask and/or FastAPI
3. Strong understanding of ML algorithms, including supervised, unsupervised, and reinforcement learning.
4. Experience with AWS ecosystem, especially Amazon SageMaker for model training, deployment, and monitoring.
5. Solid grasp of data analytics, feature engineering, and statistical modeling techniques.
6. Familiarity with CI/CD pipelines, containerization (Docker), and version control (Git).
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