Senior AI Engineer

Jobs for Humanity; Coimbatore District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobs for Humanity in Coimbatore invites a proactive Senior AI Engineer (2–4 years) to design and deploy AI solutions using Python, ML/DL concepts, and modern frameworks. Build robust data pipelines and models that scale in real-world tasks.

Ideal candidates will have NLP, CV, LLM experience, and familiarity with VectorDBs and RAG methods, capable of independent work and strong teamwork with clear results communication.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proficient in Python and another language (e.g., R, Java).
• Hands-on with TensorFlow, PyTorch, or Keras.
• Experience with ML algorithms such as linear regression, decision trees, random forests, SVM.
• Knowledge of CNNs and RNNs in deep learning.
• Data preprocessing, feature engineering, and model evaluation.
• Strong problem-solving and analytical skills.
• Ability to work independently and in a team.
• Up-to-date with AI research and best practices.
• Excellent communication of technical results.
• Experience in CV, NLP, LLMs; Vector databases and RAG models is a plus.
• Bonus: cloud deployment on AWS/GCP/Azure.

Skills

Python

ML algorithms

DL concepts

NLP/Computer Vision

Vector databases

RAG models

Model evaluation

Communication

Teamwork

Independent work

Education

Bachelor’s/Master’s in CS/AI/DS

Tools

TensorFlow

PyTorch

Keras

AWS/GCP/Azure

Job description

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.