1. Design, develop, and implement machine learning models and AI algorithms tailored to specific business needs.
2. Collaborate with data scientists and product teams to define project goals, data requirements, and performance metrics.
3. Conduct exploratory data analysis and preprocess raw data to derive meaningful features for model development.
4. Train, validate, and test machine learning models, ensuring accuracy and robustness before deployment.
5. Optimize model performance and efficiency, utilizing techniques such as hyperparameter tuning and model selection.
6. Create and maintain documentation for model architecture, data flow, and algorithms used.
7. Stay abreast of the latest advancements in AI/ML and leverage new techniques to improve existing processes.
8. Present insights and recommendations to both technical and non-technical stakeholders, leading discussions on potential applications.
1. Proficiency in programming languages such as Python or R, with a strong understanding of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
2. Experience with data manipulation tools and libraries (e.g., Pandas, NumPy).
3. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
4. Strong understanding of machine learning concepts, algorithms, and best practices in model evaluation.
5. Knowledge of data visualization tools (Qlik, PowerBI, Tableau, etc.) to communicate findings.
1. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
2. Minimum of 2-5 years of professional experience in machine learning, artificial intelligence, or data science, preferably in a commercial setting.
3. Fresh graduates are encouraged to apply.1. Excellent analytical and problem-solving skills for addressing technical challenges.
2. Strong communication skills, with the ability to convey complex concepts clearly and succinctly to diverse audiences.
3. Collaborative mindset, capable of working effectively within a team and across departments.
4. Attention to detail and commitment to delivering high-quality work.
5. Adaptability and a proactive approach to learning new technologies and methodologies.
1. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
2. Minimum of 2-5 years of professional experience in machine learning, artificial intelligence, or data science, preferably in a commercial setting.
3. Fresh graduates are encouraged to apply.
