Machine Learning Innovator at Search Plus
4 days ago
We are seeking a highly skilled Machine Learning Engineer to join our team at Search Plus. As a Machine Learning Engineer, you will play a key role in developing and deploying machine learning models that drive business growth and improve customer experiences.
Key Responsibilities:
- Design and implement machine learning models to address specific business problems, such as classification, regression, clustering.
- Choose appropriate algorithms based on problem requirements, including supervised, unsupervised, or reinforcement learning.
- Train models on large datasets and evaluate their performance using metrics like accuracy, precision, recall, F1-score, or AUC.
- Tune hyperparameters, adjust algorithms, and experiment with different architectures to improve model performance.
Data Processing and Feature Engineering:
- Preprocess raw data, handle missing values, outliers, and ensure data is clean and suitable for machine learning.
- Extract relevant features from raw data, transforming it into a format suitable for modeling.
- Combine data from different sources and ensure proper data flow into the machine learning pipeline.
Model Deployment and Integration:
- Work with software engineers to deploy machine learning models into production environments.
- Develop APIs for integrating machine learning models into larger systems or applications for real-time or batch inference.
- Ensure machine learning models can handle large-scale data and can be efficiently used in production environments.
- Continuously monitor model performance in production, detecting issues like data drift or model degradation, and retrain models when necessary.
Collaboration with Cross-Functional Teams:
- Collaborate with data scientists to understand the problem, select the right algorithms, and develop experimental models.
- Work with software engineers to integrate machine learning models into software products or services.
- Translate business requirements into technical solutions and communicate findings to non-technical stakeholders.
Requirements:
- Master's degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
- 2+ years of working experience in Machine Learning.
- Experience with AWS is a plus.
- Knowledge in Statistical modeling and maths.
- Intermediate knowledge of Python's ML stack: Pandas, Matplotlib, Sklearn, Tensorflow.
- Intermediate knowledge of machine learning algorithms such as Linear regression, Gradient boosted trees, Neural networks.
- Basic knowledge of SQL, and visualization tools such as Periscope with experience in handling large datasets.
- Basic knowledge of statistical analysis and A/B testing.
- Excellent verbal and written communication.
- Strong problem-solving skills.
- Analytical thinking; Conceptual thinking; Detail-oriented; Business Acumen.
- Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning.
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