Data Science
Data Science
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Job Description
We are seeking a highly skilled Machine Learning and Data Science Engineer with expertise in Python and a deep understanding of modern machine learning algorithms. The ideal candidate will have a strong background in statistical modeling machine learning and scalable system design. You will play a pivotal role in creating and deploying datadriven solutions that optimize decisionmaking and drive business innovation.
Key Responsibilities
1. Data Analysis and Preprocessing
- Collect clean and preprocess structured and unstructured data from multiple sources.
- Conduct exploratory data analysis (EDA) to identify trends and patterns.
- Ensure data integrity accuracy and consistency.
2. Algorithm Development and Optimization
- Design and implement machine learning algorithms including linear models decision trees and ensemble methods (e.g. Random Forest AdaBoost XGBoost LightGBM).
- Optimize hyperparameters using techniques such as grid search random search and Bayesian optimization.
- Conduct feature engineering to improve model performance.
3. Model Deployment and Monitoring
- Deploy machine learning models into production using frameworks like Flask FastAPI or Docker.
- Monitor and evaluate model performance retraining as necessary to ensure reliability over time.
- Implement pipelines for automated model training and deployment (MLOps).
4. Advanced Techniques
- Apply advanced algorithms for classification regression and clustering tasks.
- Work with boosting and bagging techniques to improve model accuracy and robustness.
- Explore timeseries forecasting NLP or computer vision depending on project needs.
5. Collaboration and Communication
- Partner with data engineers software developers and product teams to deliver endtoend solutions.
- Translate complex findings into actionable insights for technical and nontechnical stakeholders.
6. Research and Innovation
- Stay updated on the latest advancements in machine learning and data science.
- Experiment with and implement cuttingedge tools and methodologies to enhance workflows.
7. Python:
- Ability to write robust code in Python or R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikitlearn).
- Understanding of algorithms like K1NN Naive Bayes SVM Decision Forests etc
- Experience with data visualization tools like D3.js Ggplot etc is desired .
- Knowledge of databases like MYSQL NOSQL is desired .
Employment Type
Full Time
