
Chief Data Modeling Officer
5 days ago
Overview:
A key role in our organization is the Machine Learning Engineer, responsible for developing and implementing predictive models to drive business growth.
Key Skills We're Looking For:
- Machine Learning Mastery
- We seek a seasoned professional with strong expertise in regression, classification, clustering, regularization, and model tuning.
- Proficiency in Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers is desirable.
- Programming Skills
- Expertise in Python programming, specifically with NumPy, Pandas, and Scikit-learn, is essential for building machine learning models from scratch.
- Data Handling
- The ability to query large datasets efficiently and apply rigorous data validation to ensure accuracy and reliability is crucial.
- Statistical & Analytical Thinking
- A solid grasp of hypothesis testing, confidence intervals, and interpreting results in a business context is vital for driving data-driven decision making.
- ML System Design
- Experience in designing and deploying machine learning pipelines, including model training, testing, and deployment using REST APIs or batch jobs, is essential.
- Understanding of monitoring and retraining models post-deployment is critical for maintaining model performance.
Additional Desirable Qualifications:
- Knowledge of distributed data processing tools like Apache Spark, Dask, etc.
- Familiarity with MLOps tools such as MLflow, Airflow, or SageMaker.
- Experience with cloud platforms like AWS, Azure, GCP.
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