- Solid proficiency in Python and ML libraries such as:
- pandas, NumPy, scikit-learn
- XGBoost, LightGBM, CatBoost
- TensorFlow, Keras, PyTorch
- Experience with model deployment and serving tools:
- ONNX, TensorRT, TensorFlow Serving, TorchServe
- Familiarity with ML lifecycle tools:
- MLflow, Kubeflow, Azure ML Pipelines
- Experience working with distributed data processing using PySpark.
- Solid understanding of software engineering principles and version control (e.g., Git).
- Excellent problem-solving skills and ability to work independently or in a team.
- Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
- Proficiencies in data cleansing, exploratory data analysis, and data visualization
- Continuous learner that stays abreast with industry knowledge and technology
📌 ML Engineer (Hyderabad)
🏢 Luxoft
📍 Hyderabad
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