
Data Scientist: Expertise in Artificial Intelligence
1 week ago
We are seeking a skilled Machine Learning Specialist with 6 months to 1.5 years of experience in developing and deploying machine learning models to address business challenges.
- Develop and deploy machine learning models to address business challenges through data preprocessing, feature engineering, model selection, training, and validation.
- Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within structured and unstructured data, refining ML models and approaches.
- Collaborate with a multidisciplinary team to refine data requirements and deliver ML-driven solutions.
- Create clear visualizations to represent ML model outcomes and prepare comprehensive reports and presentations that translate complex ML concepts into actionable business insights.
- Pursue advanced learning opportunities in machine learning techniques and algorithms, incorporating cutting-edge research and tools into projects.
- Assist in the development of predictive models and other ML applications, testing their effectiveness in real-world scenarios.
- Cross-functionally apply insights, datasets, code, and models across other functions in the organization.
- Maintain clear and coherent communication to understand data needs and report results.
- Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field with significant coursework or projects in machine learning.
- Minimum of 6 months to 1.5 years of experience in machine learning or data science, with a portfolio demonstrating projects in ML model development, data analysis, and feature engineering.
- Solid proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python. Experience with SQL and familiarity with data visualization libraries (e.g., Seaborn, ggplot2).
- Exceptional skills in analyzing complex data sets to develop ML models addressing business needs.
- Strong ability to communicate complex ML concepts clearly to technical and non-technical stakeholders.
- Demonstrated ability to work effectively in a team, showing adaptability and openness to feedback.
- Opportunity to work on cutting-edge machine learning projects and advance your skills in AI and data science.
- Collaborative and dynamic work environment with a multidisciplinary team.
- Professional growth and development opportunities.
Join our team of passionate professionals dedicated to driving innovation and excellence in machine learning and data science.
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