Roles & Responsibilities AI / ML developer.
- Design and Implementation: Create machine learning models to solve specific problems.
- Algorithm Selection: Choose the right algorithms and techniques based on the problem.
- Model Training: Train models using available data.
- Performance Evaluation: Assess model performance using suitable metrics.
- Validation Testing: Test models for generalization and robustness using cross-validation.
- Model Integration: Integrate machine learning models into production systems or applications.
- API Implementation: Develop APIs and web services for model inference and prediction.
- Monitoring and Alerting: Set up systems to detect model degradation or data quality issues.
- Model Maintenance: Periodically update and retrain models to ensure effectiveness over time.
- Continuous Learning: Stay updated on the latest advancements and research in AI and ML.
- Experimentation: Explore new algorithms, frameworks, and tools to improve model performance.
- Participate in training sessions, workshops, and mentorship programs to enhance technical skills and knowledge.
- Assist in designing, developing, and implementing software applications, features, or modules under the guidance of senior developers or team leads.
- Write clean, well-documented, and efficient code using best practices and coding standards.
- Collaborate with team members to troubleshoot issues, debug code, and implement solutions.
- Write and execute test cases to ensure software functionality, reliability, and performance.
- Document technical specifications, design decisions, and implementation details.
- Collaborate with cross-functional teams including developers, designers, testers, and product managers.
- Communicate effectively with team members to understand requirements, share ideas, and coordinate tasks.
- Analyze requirements and propose creative solutions to technical challenges.