About Us
We are building advanced transformer models focused on multilingual translation and custom transformer architectures. Our team works on large-scale NLP and transformer-based models with a strong focus on research, experimentation, model optimization, and production-grade AI systems.
We are looking for a highly skilled Machine Learning Engineer who is passionate about designing, developing, and optimizing AI/ML models, working with transformer architectures, and contributing to cutting-edge NLP research and development.
This is a core ML engineering role — not a prompt engineering or API integration role.
Role Overview
As a Machine Learning Engineer, you will be responsible for developing, training, fine-tuning, evaluating, and deploying transformer-based NLP models and Large Language Models (LLMs). You will work closely with AI researchers, data scientists, and software engineering teams to build scalable multilingual AI solutions.
The ideal candidate should have strong hands-on experience with ML model development pipelines, data preprocessing, tokenization techniques,



transformer architectures, GPU-based training environments, and model optimization techniques. A solid interest in experimentation, improving model performance, and deploying AI systems at scale is essential.
Key Responsibilities
- Design, develop, and optimize transformer-based AI/ML models for NLP and multilingual applications.
- Build and maintain end-to-end machine learning pipelines for data processing, model training, evaluation, and deployment.
- Train and fine-tune transformer models on large-scale custom datasets.
- Work with Seq2 Seq, encoder-decoder architectures, attention mechanisms, and modern LLM architectures.
- Optimize models using techniques such as Lo RA, QLo RA, PEFT, quantization, and distributed training approaches.
- Develop tokenization pipelines using BPE, Sentence Piece, and other subword tokenization methods.
- Evaluate model performance using BLEU, perplexity, a

📌 Machine learning engineer (Hyderabad)
🏢 Ailogic Neural Network
📍 Hyderabad