Job Description

As a

AI Deep Learning Engineer

you'll design and implement deep learning solutions for a variety of client projects, including computer vision, natural language processing, and generative AI applications. This role is best suited for professionals who thrive on innovation and want to apply advanced neural network architectures to solve complex real-world challenges.

Key Responsibilities

Develop and optimize deep learning models using frameworks such as

TensorFlow, PyTorch, or JAX

. Work on applications like

image recognition, NLP, speech processing, recommendation systems, and generative AI

. Preprocess and manage large-scale datasets for model training and evaluation. Deploy models into production and ensure scalability, reliability, and performance. Collaborate with cross-functional teams to align deep learning solutions with business goals. Research and experiment with state-of-the-art architectures (Transformers, GANs, Diffusion Models, LLMs).

Requirements

Proven experience in

deep learning model design, training, and deployment

. Strong proficiency in

Python

and deep learning libraries (PyTorch, TensorFlow, Hugging Face). Solid understanding of

neural networks, optimization algorithms, and GPU acceleration

. Experience with

cloud environments

(AWS, GCP, Azure) and ML Ops workflows. Ability to communicate technical results to both technical and non-technical stakeholders.

Preferred Skills

Experience with

large language models (LLMs)

and fine-tuning techniques. Familiarity with

computer vision architectures

(CNNs, YOLO, ResNet, Vision Transformers). Exposure to

generative models

(GANs, VAEs, diffusion models). Hands-on experience with

Docker, Kubernetes

, and distributed training.
Job Type: Full-time

Pay: ₹30,000.00 - ₹60,000.00 per month

Work Location: Remote