Senior AI Engineer

21 hours ago

Coimbatore, Tamil Nadu, India Jobs for Humanity Full time ₹ 20,00,000 - ₹ 25,00,000 per year
Company Description

Greetings from Saira Jobs

We are currently recruiting for a 'Senior AI Engineer' on behalf of our partner. Explore the opportunity below and apply today if you meet the qualifications

Job Description

Job Description: Senior AI Engineer(2 to 4 years)

Educational Background:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Required Skills:

  • Programming Proficiency: Strong programming skills in Python or other relevant languages (e.g., R, Java).
  • AI Frameworks: Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
  • Machine Learning Algorithms: Practical knowledge of machine learning algorithms like linear regression, decision trees, random forests, and SVM.
  • Deep Learning Concepts: Experience working with deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
  • Data Handling: Expertise in data preprocessing, feature engineering, and model evaluation.
  • Problem-Solving: Strong analytical and problem-solving skills to tackle complex AI problems.
  • Independent and Team Work: Ability to work independently and collaboratively within a team environment.
  • Up-to-date Knowledge: Staying current with the latest AI research, technologies, and best practices to ensure relevant and effective AI solutions.
  • Communication: Excellent verbal communication skills for explaining technical concepts and AI model results clearly.
  • Specialized Skills:
    • Experience in Computer Vision, Deep Learning, Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs).
    • Vector Databases (VectorDB) and Retrieval-Augmented Generation (RAG) models: Practical experience in developing and working with these technologies.

Bonus Skills:

  • NLP or Computer Vision: Experience in developing AI models for natural language processing or computer vision applications.
  • Cloud Platforms: Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying AI models.
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