About this role
Develop and maintain AI/ML models and applications:
- Design and implement machine learning models tailored to specific business needs.
- Continuously monitor and update models to ensure they remain accurate and effective.
- Develop applications that integrate AI/ML models, providing end-to-end solutions for various use cases.
Perform data preprocessing, feature engineering, and model training:
- Clean and preprocess raw data to remove noise and inconsistencies, ensuring high-quality input for models.
- Apply feature engineering techniques to create meaningful features that enhance model performance.
- Train models using appropriate algorithms and techniques, optimizing for accuracy and efficiency.
Collaborate with cross-functional teams to gather requirements and deliver solutions:
- Work closely with stakeholders from different departments to understand their needs and objectives.
- Translate business requirements into technical specifications for AI/ML solutions.
- Deliver tailored solutions that address specific challenges and add value to the organization.
Debug and troubleshoot AI/ML models and applications:
- Identify and resolve issues related to model performance, such as overfitting or underfitting.
- Debug application code to ensure smooth integration and functionality of AI/ML models.
- Perform root cause analysis to address any anomalies or errors in the models and applications.
Participate in code reviews and contribute to team success:
- Engage in regular code reviews to ensure code quality and adherence to best practices.
- Provide constructive feedback to peers and incorporate suggestions to improve your own code.
- Collaborate with team members to achieve project milestones and contribute to the overall success of the team.
Ensure compliance with coding standards and best practices:
- Write clean, maintainable, and well-documented code that follows industry standards.
- Stay updated with the latest coding practices and integrate them into your work.
- Conduct peer reviews to maintain high standards of code quality and consistency.
Continuously improve technical skills and knowledge:
- Engage in continuous learning through online courses, workshops, and reading relevant literature.
- Experiment with new tools and technologies to understand their potential applications. Attend conferences, webinars, and meetups to network with professionals and learn from experts.
- Academic Qualifications: At least a Bachelor’s degree in Computer Science, Data Science, or a related field.
- Minimum of 2 years of experience in AI/ML development.
- Proficiency in programming languages such as Python/Java.
- Strong problem-solving and debugging skills.
- Ability to work collaboratively in a team environment.