AI Engineer

Brainmage Ai; Coimbatore District, Visakhapatnam; On-site; INR 6,75,000 - 9,00,000; Full time

Job summary

A tech company is seeking a skilled AI Engineer to design and deploy advanced AI models for decision-making and automation. The ideal candidate will have a solid foundation in machine learning and natural language processing, along with strong programming capabilities in Python. Responsibilities include developing ML models and preprocessing datasets. A degree in Computer Science or related field is preferred.

Qualifications

• Deep understanding of machine learning and natural language processing.
• Strong programming skills, particularly in Python.
• Ability to work with large datasets and preprocess them effectively.

Responsibilities

• Design, develop, and fine-tune ML and DL models.
• Preprocess and clean large datasets for model training.

Skills

Machine Learning

Natural Language Processing

Python

Problem-solving

Education

Bachelor's or master's degree in Computer Science or related field

Tools

PyTorch

Pandas

Scikit-learn

Hugging Face Transformers

AWS S3

git

Job description

We are seeking a skilled and motivated AI Engineer to design, build, and deploy state-of-the-art artificial intelligence models and systems that drive intelligent decision‑making and automation. The ideal candidate will have a deep understanding of machine learning and natural language processing, combined with strong programming and problem‑solving skills.

Primary Skills

• Design, develop, and fine‑tune machine learning (ML) and deep learning (DL) models to solve complex problems in areas such as computer vision, NLP, recommendation systems, and more.
• Preprocess and clean large datasets to enable effective model training.
• Proficiency in Python, with experience in libraries like PyTorch, Pandas and Scikit‑learn.
• Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.

Preferred Skills

• Hands‑on experience with deep learning architectures like Transformers, RNNs, and LSTMs.
• Experience with NLP libraries like Hugging Face Transformers, SpaCy, or NLTK.
• Proficiency in handling large datasets.
• Familiarity with data storage systems like AWS S3.
• Proficiency in git version control.

Educational Requirements

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