Deep Learning Engineer

FactoFlare AI; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

FactoFlare AI in Bengaluru embraces hybrid work as it seeks a talented AI Research Scientist to advance the Xyranik AI Agentic platform. You will design deep learning models for autonomous decision-making, NLP and CV tasks, translating research into production-ready solutions.

Applicants should hold a Master’s or PhD in CS/ML, 3+ years in DL, strong Python skills with TensorFlow or PyTorch, and a track record of published work.

Qualifications

• Master's or PhD in CS, ML or related field.
• 3+ years in deep learning research or applications.
• Strong Python skills with TensorFlow or PyTorch.
• Experience with CNNs, RNNs, Transformers.
• GPU acceleration and distributed training experience.
• Published DL research or demonstrable projects.

Responsibilities

• Design and implement state‑of‑the‑art deep learning models for AI agents
• Develop neural network architectures for autonomous decision‑making systems
• Optimize model performance for real‑time AI agent applications
• Research and implement novel deep learning techniques for agentic AI
• Collaborate with engineering teams to deploy models in production

Skills

Deep learning research

Python & DL frameworks

Neural network architectures

GPU acceleration & distributed

Published DL research

Education

Master's or PhD in CS/ML

Tools

TensorFlow

PyTorch

CUDA

Job description

Bangalore, India (Hybrid)

Full-time

Posted: January 14, 2026

Job Description

Join our AI Research team to develop cutting‑edge deep learning models that power our Xyranik AI Agentic platform. You’ll work on neural network architectures for autonomous decision‑making, natural language processing, and computer vision applications that enable AI agents to understand and interact with complex environments.

Responsibilities

• Design and implement state‑of‑the‑art deep learning models for AI agents
• Develop neural network architectures for autonomous decision‑making systems
• Optimize model performance for real‑time AI agent applications
• Research and implement novel deep learning techniques for agentic AI
• Collaborate with engineering teams to deploy models in production

Requirements

• Master's or PhD in Computer Science, Machine Learning, or related field
• 3+ years of experience in deep learning research or applications
• Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch)
• Extensive knowledge of neural network architectures (CNNs, RNNs, Transformers)
• Experience with GPU acceleration and distributed training
• Published research or demonstrable projects in deep learning

Preferred Qualifications

• Experience with reinforcement learning and agent‑based systems
• Knowledge of large language models and their applications
• Background in computer vision or natural language processing
• Experience with model deployment and MLOps practices

About FactoFlare

FactoFlare is a leading AI technology company focused on developing intelligent solutions that help businesses streamline operations, enhance productivity, and drive innovation. We are committed to creating a diverse, inclusive workplace where all employees can thrive and contribute to our mission of making advanced AI technology accessible and beneficial to organizations of all sizes. We offer competitive compensation, comprehensive benefits, and a collaborative, flexible work environment that supports both professional growth and work‑life balance.

FactoFlare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.