Machine Learning Modeller
5 days ago
We are looking for a talented and motivated Machine Learning Modeler to join our team and contribute to the development of innovative ML models that solve real-world problems. In this role, you will be responsible for building, optimizing, and deploying machine learning models to drive data-driven decision-making across various business functions. You will work with large datasets, advanced algorithms, and cutting-edge technologies to create impactful solutions.
Key Responsibilities:
Model Development:
- Develop, test, and deploy machine learning models for business-critical applications, including classification, regression, recommendation systems, and anomaly detection.
Data Exploration & Preprocessing:
- Clean, preprocess, and explore large datasets to extract meaningful insights and identify key features for model building.
Algorithm Selection & Tuning:
- Select appropriate machine learning algorithms and fine-tune hyperparameters for model optimization and performance improvement.
Collaboration:
- Work closely with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to understand business problems and translate them into ML solutions.
Experience:
- 3-5+ years of experience in machine learning
- Proven experience in building, deploying, and optimizing machine learning models in production environments.
- Strong proficiency in Python (or R) and SQL.
- Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques.
- Solid understanding of machine learning algorithms, statistical methods, and model evaluation metrics.
Soft Skills:
- Strong problem-solving skills and ability to think critically and creatively.
- Excellent communication skills to collaborate with both technical and non-technical teams.
- Experience with deep learning, reinforcement learning, or NLP techniques.
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