For companies:
For professionals:
For everyone:
For developers:
Responsibilities
Role Overview:
- Design, develop, and deploy Machine Learning models for business-critical use cases.
- Build and optimize traditional ML models including Linear Regression, Logistic Regression, Decision Trees, Random Forest, Gradient Boosting (XGBoost, LightGBM, CatBoost), Support Vector Machines, and Clustering Algorithms.
- Develop forecasting solutions using ARIMA, SARIMA, Prophet, Exponential Smoothing, and Time-Series Regression Models.
- Perform exploratory data analysis (EDA), feature engineering, and data validation.
- Evaluate model performance using appropriate statistical and business metrics.
- Work with structured and semi-structured datasets from multiple sources.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
- Build scalable data pipelines and support model deployment in production environments.
- Monitor model performance, identify data drift, and implement model retraining strategies.
- Present insights and recommendations to technical and non-technical stakeholders.
Technical Skills:
- Advanced proficiency in Python including Pandas, NumPy, Scikit-learn, Statsmodels, XGBoost, LightGBM, and Prophet.
- Strong SQL skills with experience in complex queries and performance optimization.
- Experience working with large-scale datasets.
- Experience with visualization tools such as Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
- Exposure to cloud platforms including AWS, Azure, or GCP.
- Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
- 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.
Key Competencies:
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work independently in a fast-paced environment.
- Strong business acumen and data-driven decision-making mindset.
This job post is closed.