Python Machine Learning Engineer

Python Machine Learning Engineer

Job type: Contractor assignment (no medical/paid leave)

This listing is for Python Machine Learning Engineer.

Day-to-day

• Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.
• Translate business objectives into robust ML architectures that accurately capture business logic and context.
• Collabo

You bring

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.
• 4+ years of hands-on DS/ML development experience,
• Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference
• Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.).
• Ability to understand and apply different models to real-world use cases
• Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics.
• Proven ability to design scalable, production-grade ML systems.

Bonus

• Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
• Experience with cloud data platforms (Databricks, AWS, etc.)
• Hands-on experience with PySpark and Databricks Platform
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench

Pay

• Start: is next week]
• Contractor assignment (no medical/paid leave)