
Senior Machine Learning Engineer
1 week ago
Job Title: Data Analyst
This is a challenging role that involves designing, developing and implementing machine learning models to solve complex business problems.
The ideal candidate should have a strong background in Python programming and experience with SQL database management. They should also be familiar with libraries such as scikit-learn, pandas, NumPy, matplotlib and seaborn for data analysis and visualization.
In addition to technical skills, the candidate should be able to communicate complex ideas effectively to both technical and non-technical stakeholders.
We are looking for a team player who can collaborate with cross-functional teams including product managers, data engineers and analysts.
- Create and implement machine learning models using Python and relevant libraries.
- Analyze and process large datasets using SQL and Python programming.
- Evaluate model performance and make recommendations for improvement.
- Develop reusable code and libraries for data science applications.
Required Skills:
- Minimum 5 years of hands-on experience in Python programming for data science and machine learning.
- Strong command of SQL for data extraction and manipulation.
- Solid understanding of machine learning algorithms like Linear/Logistic Regression, Random Forests, Decision Trees, SVM, KNN etc.
- Experience with libraries such as scikit-learn, pandas, NumPy, matplotlib, seaborn.
- Experience in model evaluation and performance tuning.
- Familiarity with version control tools like Git.
- Knowledge of data visualization and exploratory data analysis (EDA).
Good to Have:
- Exposure to time-series forecasting and anomaly detection.
- Experience with cloud platforms (e.g. AWS, Azure, GCP).
- Familiarity with MLOps practices or frameworks.
- Exposure to business domains such as finance, retail or supply chain.
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