Junior AI Engineer

Wissen Infotech


Date: 2 weeks ago
City: Bengaluru, Karnataka
Contract type: Full time
Job Summary

Wissen Infotech is looking for passionate and driven individuals to join our team as Fresher AI Engineers. This is an exceptional opportunity for recent graduates to kickstart their career in the rapidly evolving field of Artificial Intelligence and Machine Learning. You will work alongside experienced data scientists and engineers, contributing to real-world projects while receiving structured training and mentorship to build a strong foundation for your career.

Key Responsibilities

  • Assist senior engineers in the entire machine learning model lifecycle: from data collection and preprocessing to training, tuning, and deployment.
  • Write clean, efficient, and well-documented code for AI/ML applications.
  • Collaborate with cross-functional teams to understand project requirements and contribute to technical solutions.
  • Help in building and maintaining data pipelines for our AI systems.
  • Stay updated with the latest advancements in AI, machine learning, and deep learning.
  • Participate in code reviews to maintain high standards of code quality.
  • Support the testing and validation of AI models to ensure accuracy and performance

Required Qualifications & Skills

  • Education: A Bachelor's or Master's degree (B.E./B.Tech/M.E./M.Tech) in Computer Science, IT, or a related engineering discipline from a reputed institution.
  • Academic Performance: Consistent and strong academic record.
  • Core Concepts: Solid understanding of fundamental AI, Machine Learning, and Deep Learning concepts.
  • Programming: Strong programming skills in Python.
  • Foundations: Excellent knowledge of Data Structures, Algorithms, and Object[1]Oriented Programming (OOPS).
  • Problem-Solving: Strong analytical and problem-solving abilities with a keen attention to detail.
  • Communication: Excellent verbal and written communication skills.
  • Teamwork: A collaborative mindset with the ability to work effectively in a team environment

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