Description

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.

Education

Any Gradute