
Senior Machine Learning Engineer
4 days ago
Data Science Career Opportunity
Our organization is seeking a senior data scientist to contribute to the development of advanced machine learning and statistical models. The successful candidate will play a key role in building, refining, and deploying these models to empower business decisions with predictive insights.
Key Responsibilities- Model Development: Create and refine robust machine learning and statistical models tailored to solving complex business problems.
- Model Deployment: Deploy models to production environments, ensuring scalability, stability, and maintainability.
- Data Analysis & Exploration: Analyze large and complex datasets to uncover trends, patterns, and opportunities.
- Collaboration & Communication: Work cross-functionally with business leaders, product managers, analysts, and engineers to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.
- Documentation & Best Practices: Maintain comprehensive documentation for models, codebases, and analytical processes.
Required Skills and Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
- Proven experience (3+ years) in building, refining, and deploying machine learning/statistical models in a professional setting.
- Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and model deployment tools (e.g., Docker, Kubernetes, MLflow) is highly desirable.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and database systems (SQL/NoSQL).
Preferred Qualifications
- Experience in deploying models into real-time or high-availability production environments.
- Familiarity with MLOps practices and tools.
- Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly, Dash).
Our organization offers a dynamic and collaborative work environment that fosters innovation and growth. We are committed to providing our employees with opportunities to develop their skills and advance their careers.
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