aimlroles

Senior AI Engineer

Jobs for Humanity Open · verified Oct 22, 2026
On-site Coimbatore Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at Jobs for Humanity. Coimbatore · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering
SenioritySenior
LocationCoimbatore
WorkplaceOn-site
EmploymentFull-time
PostedJul 16, 2025 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build AI models for machine learning, deep learning, computer vision, natural language processing and large language model work
  • Prepare data, create useful features and assess model performance
  • Develop and work with vector databases and retrieval-augmented generation systems
  • Explain technical ideas and model results clearly to others

What you bring

  • You have two to four years of experience and a bachelor's or master's degree in a related field
  • You can program in Python or another relevant language and have used an AI framework such as TensorFlow or PyTorch
  • You understand machine learning methods, deep learning models, data preparation and model evaluation
  • You have practical experience with vector databases and retrieval-augmented generation

Who this fits

This suits an AI engineer who can work independently and alongside a team, and communicate technical results clearly. The role is onsite in Coimbatore.

From the employer

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: 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.